Data Sheet 1_Association of white matter hyperintensity burden and infarct volume in the anterior choroidal artery territory with early neurological progression: a dual-center retrospective study.docx
Published on (4 days ago)
ObjectiveTo investigate the associations of white matter hyperintensity (WMH) burden and infarct volume with early neurological progression in anterior choroidal artery (AChA) territory infarction, and to identify potential imaging-based predictive thresholds.MethodsThis retrospective cohort study consecutively enrolled AChA infarct patients admitted to two comprehensive stroke centers between September 2018 and September 2024. WMH burden and infarct volume were assessed using the Fazekas visual
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Repeatability of wide and standard macula scan measurements of macular thickness, and wide and standard disc scans for circumpapillary retinal nerve fiber layer (cpRNFL) thickness parameters.
Published on (4 days ago)
Repeatability of wide and standard macula scan measurements of macular thickness, and wide and standard disc scans for circumpapillary retinal nerve fiber layer (cpRNFL) thickness parameters.
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Table_1_Advances in application of swept-source optical coherence tomography angiography in diagnosis and treatment of diabetic retinopathy.docx
Published on (4 days ago)
Diabetic retinopathy (DR) is the most common microvascular complication of diabetes and one of the leading causes of global blinding. More attention should be paid to the diagnosis, treatment and prognosis of DR. Swept-source optical coherence tomography angiography (SS-OCTA) is a novel imaging technique presented in recent years. It can accurately present the various levels of the retina, choriocapillaris, macula, and the optic papillary microcirculation, which is new to the diagnosis and progn
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Parafoveal vessel loss and correlation between peripapillary vessel density and cognitive performance in amnestic mild cognitive impairment and early Alzheimer’s Disease on optical coherence tomograph
Published on (4 days ago)
PurposePatients with Alzheimer’s Disease (AD) exhibit decreased retinal blood flow and vessel density (VD). However, it is not known whether these changes are also present in individuals with early AD (eAD) or amnestic type mild cognitive impairment (aMCI), an enriched pre-AD population with a higher risk for progressing to dementia. We performed a prospective case-control clinical study to investigate whether optical coherence tomography angiography (OCTA) parameters in the macula and disc are
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Comparison of areas under the receiver operating characteristic curves (AUCs) between wide and standard macula scans of macular thickness parameters and between wide and standard disc scans of circump
Published on (4 days ago)
Comparison of areas under the receiver operating characteristic curves (AUCs) between wide and standard macula scans of macular thickness parameters and between wide and standard disc scans of circumpapillary retinal nerve fiber layer (cpRNFL) thickness parameters for assessing glaucoma.
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Zip file containing en-face OCTA choriocapillaris images of enrolled eyes.
Published on (4 days ago)
Zip file containing en-face OCTA choriocapillaris images of enrolled eyes.
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Table_2_Advances in application of swept-source optical coherence tomography angiography in diagnosis and treatment of diabetic retinopathy.docx
Published on (4 days ago)
Diabetic retinopathy (DR) is the most common microvascular complication of diabetes and one of the leading causes of global blinding. More attention should be paid to the diagnosis, treatment and prognosis of DR. Swept-source optical coherence tomography angiography (SS-OCTA) is a novel imaging technique presented in recent years. It can accurately present the various levels of the retina, choriocapillaris, macula, and the optic papillary microcirculation, which is new to the diagnosis and progn
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EED-Astig
Published on (4 days ago)
We collected data from 640 children aged 3-6 years who underwent routine vision examinations at the outpatient department of Peking University First Hospital between January 1 and June 30, 2025. We present EED-Astig, a new multimodal pediatric dataset for AI-based astigmatism severity prediction.The dataset is released as a single compressed file named `EED-Astig.zip`, which, upon extraction, reveals two main directories: **Images** and **Annotations**, along with an additional file **Parameter.
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Quantitative comparison on private datasets.
Published on (4 days ago)
ProblemLow-quality fundus images with complex degredation can cause costly re-examinations of patients or inaccurate clinical diagnosis.AimThis study aims to create an automatic fundus macular image enhancement framework to improve low-quality fundus images and remove complex image degradation.MethodWe propose a new deep learning-based model that automatically enhances low-quality retinal fundus images that suffer from complex degradation. We collected a dataset, comprising 1068 pairs of high-qu
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Data_FAZ_area.xlsx
Published on (4 days ago)
This observational study was approved by the Institutional Review Board of the Kyoto University Graduate School of Medicine (Kyoto, Japan) and adhered to the tenets of the Declaration of Helsinki. Written informed consent was obtained from each participant before initiating any study procedures or examinations. We included 14 healthy eyes of 14 healthy volunteers with no history or evidence of systemic and macula diseases. Each participant underwent high-resolution spectral-domain OCTA (OCT-A1,
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DataSheet_1_Evaluating the utility of deep learning for predicting therapeutic response in diabetic eye disease.pdf
Published on (4 days ago)
PurposeDeep learning (DL) is a technique explored within ophthalmology that requires large datasets to distinguish feature representations with high diagnostic performance. There is a need for developing DL approaches to predict therapeutic response, but completed clinical trial datasets are limited in size. Predicting treatment response is more complex than disease diagnosis, where hallmarks of treatment response are subtle. This study seeks to understand the utility of DL for clinical problems
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The effect of vitamin D deficiency on the retinal microvasculature: an observational case-control study
Published on (4 days ago)
ABSTRACT Purpose: To determine the effects of vitamin D deficiency on retinal microvascularity using optical coherence tomography angiography. Methods: This study was designed as an observational case-control study. Ninety-eight eyes of patients with vitamin D deficiency and 96 eyes of healthy participants with serum vitamin D level >30 ng/mL were studied. Macula centered, 6.00 × 6.00 mm scan size images were taken. The vessel densities in the superficial and deep retinal capillary plexus, fov
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S1 Data -
Published on (4 days ago)
PurposeTo investigate the relationship between nocturnal blood pressure (BP) dip and parapapillary choroidal vessel density (pCVD) in patients with normal-tension glaucoma (NTG)MethodsThis study analyzed 267 eyes of 267 untreated NTG patients who underwent 24-hour (h) intraocular pressure (IOP) and ambulatory BP monitoring in the habitual position. Patients were classified into 3 groups [non-dippers (nocturnal BP dip < 10%), dippers (nocturnal BP dip between 10% and 20%, and over-dippers (noctur
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Comparison of the quantitative criteria used for the single superficial scans acquired with and without the Beam Expander (BE) module.
Published on (4 days ago)
Comparison of the quantitative criteria used for the single superficial scans acquired with and without the Beam Expander (BE) module.
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Qualitative criteria: comparison between single BE and averaged 3x3 mm scans.
Published on (4 days ago)
Qualitative criteria: comparison between single BE and averaged 3x3 mm scans.
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Comparison of the quantitative criteria used for the single whole retina scans acquired with and without the beam expander (BE) module.
Published on (4 days ago)
Comparison of the quantitative criteria used for the single whole retina scans acquired with and without the beam expander (BE) module.
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Comparison of the qualitative criteria used for the average scans acquired with and without the beam expander (BE) module.
Published on (4 days ago)
Comparison of the qualitative criteria used for the average scans acquired with and without the beam expander (BE) module.
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Retinal thickness measurements of each retinal layer within the inner and outer retina, by retinal zone, and comparisons by Indigenous status.
Published on (4 days ago)
Retinal thickness measurements of each retinal layer within the inner and outer retina, by retinal zone, and comparisons by Indigenous status.
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AngioTool variables and descriptions [11].
Published on (4 days ago)
AngioTool variables and descriptions [11].
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Comparison of the qualitative criteria used for the single scans acquired with and without the beam expander (BE) module.
Published on (4 days ago)
Comparison of the qualitative criteria used for the single scans acquired with and without the beam expander (BE) module.
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Table 3_Improved MRI methods to quantify retinal and choroidal blood flow applied to a model of glaucoma.xlsx
Published on (4 days ago)
PurposeBlood flow (BF) of the retinal and choroidal vasculatures can be quantitatively imaged using MRI. This study sought to improve methods of data acquisition and analysis for MRI of layer-specific retinal and choroidal BF and then applied this approach to detect reduced ocular BF in a well-established mouse model of glaucoma from both eyes.MethodsQuantitative BF magnetic resonance imaging (MRI) was performed on glaucomatous DBA/2J and normal C57BL/6J mice. Arterial spin labeling MRI was appl
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Baseline characteristics of the study group.
Published on (4 days ago)
BackgroundThe cerebral and retinal circulation systems are developmentally, anatomically, and physiologically interconnected. Thus, we hypothesized that hypoperfusion due to atherosclerotic stenosis of the internal carotid artery (ICA) can result in disturbances of both cerebral and retinal microcirculations. We aimed to characterize parameters indicating cerebrovascular reactivity (CVR) and retinal microvascular density in patients with ICA stenosis, and assess if there is correlation between t
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Mean total retinal thickness (TRT) across the entire 5 mm zone, and in each retinal zone for Aboriginal and/or Torres Strait Islander children and non-Indigenous children, and results of pairwise comp
Published on (4 days ago)
Mean total retinal thickness (TRT) across the entire 5 mm zone, and in each retinal zone for Aboriginal and/or Torres Strait Islander children and non-Indigenous children, and results of pairwise comparisons.
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Data_Sheet_1_The impact of the image conversion factor and image centration on retinal vessel geometric characteristics.pdf
Published on (4 days ago)
BackgroundThis study aims to use fundus image material from a long-term retinopathy follow-up study to identify problems created by changing imaging modalities or imaging settings (e.g., image centering, resolution, viewing angle, illumination wavelength). Investigating the relationship of image conversion factor and imaging centering on retinal vessel geometric characteristics (RVGC), offers solutions for longitudinal retinal vessel analysis for data obtained in clinical routine.MethodsRetinal
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Data_Sheet_1_Central and peripheral changes in the retina and choroid in patients with diabetes mellitus without clinical diabetic retinopathy assessed by ultra-wide-field optical coherence tomography
Published on (4 days ago)
BackgroundTo explore the central and peripheral retinal and choroidal changes in diabetic patients without clinical diabetic retinopathy (DM-NoDR) using ultra-wide-field swept-source optical coherence tomography angiography (UWF-SS-OCTA).Methods67 DM-NoDR eyes and 32 age-matched healthy eyes were recruited. Retinal and choroidal parameters, including qualitative retinal microangiopathy, vessel flow (VFD) and linear density (VLD), thickness, and volume, were measured in the central and peripheral
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Mean and SDs of the significant regions.
Published on (4 days ago)
PurposeRetinal function beyond foveal vision is not routinely examined in the clinical screening and management of diabetic retinopathy although growing evidence suggests it may precede structural changes. In this study we compare optical coherence tomography (OCT) based macular structure with function measured objectively with the ObjectiveFIELD Analyzer (OFA), and with Matrix perimetry. We did that longitudinally in Type 2 diabetes (T2D) patients with mild Diabetic Macular Oedema (DMO) with go
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Correlations between preoperative SD-OCT, OCTA, visual field parameters, BCVA and postoperative MD.
Published on (4 days ago)
Correlations between preoperative SD-OCT, OCTA, visual field parameters, BCVA and postoperative MD.
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Data_Sheet_1_Multimodal Imaging of Choroidal Structural in Torpedo Maculopathy.pdf
Published on (4 days ago)
ObjectiveTo report a case of torpedo maculopathy with multimodal fundus imaging methods, and apply the choroid vascularity index to quantitatively describe the choroidal structural changes in torpedo maculopathy.Case presentationAn asymptomatic 41-year-old Chinese woman with an incidentally found yellowish-white macular lesion in her left eye was referred to our hospital. She was unaware of any prior medical conditions. The best corrected visual acuity (BCVA) was 20/20 OD and 20/25 OS, respectiv
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Table_6_Flavoprotein fluorescence elevation is a marker of mitochondrial oxidative stress in patients with retinal disease.docx
Published on (4 days ago)
PurposeRecent studies of glaucoma, age-related macular degeneration, and diabetic retinopathy have demonstrated that flavoprotein fluorescence (FPF) can be utilized non-invasively as an indicator of mitochondrial oxidative stress in the retina. However, a comprehensive assessment of the validity and reliability of FPF in differentiating between healthy and diseased eyes across multiple disease states is lacking. Here, we evaluate the sensitivity and specificity of FPF in discriminating between h
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Supporting information for: Discrimination ability of central visual field testing using stimulus size I, II, and III and relationship with macular ganglion cell thickness in chiasmal compression
Published on (4 days ago)
Purpose : To compare the relationship between macular ganglion cell layer (mGCL) thickness and 10-2 visual field (VF) sensitivity using different stimulus sizes in patients with temporal hemianopia from chiasmal compression. Methods: A cross-sectional study was conducted involving 30 eyes from 25 patients with temporal VF loss on 24-2 SITA standard automated perimetry due to previous chiasmal compression and 30 healthy
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Data and code from: Deep learning-based autonomous retinal vein cannulation in ex vivo porcine eyes
Published on (4 days ago)
Retinal Vein Cannulation (RVC) is an emerging method for treating Retinal Vein Occlusion (RVO). The success of this procedure depends on surgeon expertise and, recently, robotic assistance. This paper proposes an autonomous RVC workflow leveraging deep learning and computer vision. Two Steady Hand Eye Robots (SHERs) control a 100-micrometer metal needle and a medical spatula to execute precise tasks. Three convolutional neural networks are trained to predict needle movement direction and iden
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Characteristics of oedematous retinal regions.
Published on (4 days ago)
PurposeRetinal function beyond foveal vision is not routinely examined in the clinical screening and management of diabetic retinopathy although growing evidence suggests it may precede structural changes. In this study we compare optical coherence tomography (OCT) based macular structure with function measured objectively with the ObjectiveFIELD Analyzer (OFA), and with Matrix perimetry. We did that longitudinally in Type 2 diabetes (T2D) patients with mild Diabetic Macular Oedema (DMO) with go
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Patient demographics.
Published on (4 days ago)
PurposeRetinal function beyond foveal vision is not routinely examined in the clinical screening and management of diabetic retinopathy although growing evidence suggests it may precede structural changes. In this study we compare optical coherence tomography (OCT) based macular structure with function measured objectively with the ObjectiveFIELD Analyzer (OFA), and with Matrix perimetry. We did that longitudinally in Type 2 diabetes (T2D) patients with mild Diabetic Macular Oedema (DMO) with go
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Coefficient of repeatability (CR) of choroidal thickness measurements using swept source (SS) and spectral domain (SD) optical coherence tomography (OCT).
Published on (4 days ago)
Coefficient of repeatability (CR) of choroidal thickness measurements using swept source (SS) and spectral domain (SD) optical coherence tomography (OCT).
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Choroidal thickness measurements using swept source (SS) and spectral domain (SD) optical coherence tomography (OCT).
Published on (4 days ago)
Choroidal thickness measurements using swept source (SS) and spectral domain (SD) optical coherence tomography (OCT).
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Table_1_Optical Coherence Tomography Angiography Analysis of Vessel Density Indices in Early Post-COVID-19 Patients.doc
Published on (4 days ago)
PurposeA hypercoagulable state has been reported to cause potential sight-threatening ischemia in patients suffering from Coronavirus disease 2019 (COVID-19). This study aimed to determine whether vessel density (VD), as measured by optical coherence tomography angiography (OCT-A), has insights into retinal and choriocapillaris vascular changes in patients affected by SARS-CoV-2 infection.MethodsHundred and fifty two patients positive for SARS-CoV-2 infection were enrolled in this observational,
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Repeatability of Macular and Optic Nerve Head Measurements by Optical Coherence Tomography Angiography in Healthy Children
Published on (4 days ago)
Aims: To evaluate the repeatability of the peripapillary and macular vascular parameters using optical coherence tomography angiography (OCT-A) in healthy children. Materials and methods: Cross-sectional study including 34 eyes of 34 healthy children. After a complete medical examination, two consecutive OCT-A exams were done using AngioPlex Cirrus 5000 (Carl Zeiss Meditec, Dublin, CA, USA) in the same session. The scan area used was 6 × 6 mm for the analysis of the superficial vascular plexus (
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Table_3_Flavoprotein fluorescence elevation is a marker of mitochondrial oxidative stress in patients with retinal disease.docx
Published on (4 days ago)
PurposeRecent studies of glaucoma, age-related macular degeneration, and diabetic retinopathy have demonstrated that flavoprotein fluorescence (FPF) can be utilized non-invasively as an indicator of mitochondrial oxidative stress in the retina. However, a comprehensive assessment of the validity and reliability of FPF in differentiating between healthy and diseased eyes across multiple disease states is lacking. Here, we evaluate the sensitivity and specificity of FPF in discriminating between h
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Differences in OCTA, SD-OCT, visual field parameters and BCVA before and after surgery via endoscopic endonasal approach.
Published on (4 days ago)
Differences in OCTA, SD-OCT, visual field parameters and BCVA before and after surgery via endoscopic endonasal approach.
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Mean total retinal thickness (TRT) in each retinal zone and meridian, for all participants.
Published on (4 days ago)
Mean total retinal thickness (TRT) in each retinal zone and meridian, for all participants.
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Demographic information and ocular biometric measures of the Aboriginal and/or Torres Strait Islander children and non-Indigenous children.
Published on (4 days ago)
Demographic information and ocular biometric measures of the Aboriginal and/or Torres Strait Islander children and non-Indigenous children.
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Table_1_Vitreomacular Interface Abnormalities in Myopic Foveoschisis: Correlation With Morphological Features and Outcome of Vitrectomy.docx
Published on (4 days ago)
Purpose: To compare the morphologic characteristics and response to surgery of myopic foveoschisis (MF) with different patterns of vitreomacular interface abnormalities (VMIAs).Methods: In this observational case series, 158 eyes of 121 MF patients with epiretinal membrane (ERM) or vitreomacular traction (VMT) based on optical coherence tomography (OCT) were enrolled. All the eyes were divided into two groups by the pattern of VMIAs: ERM and VMT group. Sixty-one eyes underwent pars plana vitrect
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Descriptive and clinical data and mean and standard deviation of peripapillary retinal nerve fiber layer thickness, for 40 early open-angle glaucoma eyes and 43 healthy control eyes, and comparison be
Published on (4 days ago)
Descriptive and clinical data and mean and standard deviation of peripapillary retinal nerve fiber layer thickness, for 40 early open-angle glaucoma eyes and 43 healthy control eyes, and comparison between groups.
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Assessment of inner and outer retinal layer metrics on the cirrus HD-OCT platform in normal eyes. Comparison across quartiles.
Published on (4 days ago)
Assessment of inner and outer retinal layer metrics on the cirrus HD-OCT platform in normal eyes. Comparison across quartiles.
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mean Axial Length (AL) values (mm) obtained for each patient using the Partial Coherence Interferometry (PCI) and the Swept-Source OCT (SS-OCT) device.
Published on (4 days ago)
Patients data are sequentially reported and grouped on the basis of their vitreoretinal interface disorder in: epiretinal membrane (ERM, stages 1 to 4), macular pseudohole and ERM with foveoschisis. (XLSX)
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Perimetric and morphometric data considering β2-agAAb seropositivity: Mean defect (MD), retinal nerve fiber (RNFL), Bruchs’ membrane opening—minimum rim width (BMO-MRW), retinal ganglion cell (RGCL),
Published on (4 days ago)
Perimetric and morphometric data considering β2-agAAb seropositivity: Mean defect (MD), retinal nerve fiber (RNFL), Bruchs’ membrane opening—minimum rim width (BMO-MRW), retinal ganglion cell (RGCL), inner nuclear layer (INL).
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Results of statistical tests comparing inter-grader IOU scores and IOU scores between CNN and graders.
Published on (4 days ago)
Two-sided t tests were performed when data was approximately normally distributed. Non-parametric Man-Whitney U-tests were performed, when data was not normally distributed.
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Supplementary Material for: Deep Learning-Based Detection of Ocular Surface Squamous Neoplasia from Ocular Surface Images
Published on (4 days ago)
Purpose: Ocular Surface squamous neoplasia (OSSN) is a broad entity encompassing a spectrum of squamous neoplasms of conjunctiva and cornea. This study aims to explore the utility of Artificial Intelligence (AI) models in detecting OSSN from slit lamp (SL) images. Methods: This is a retrospective observational study. Slit lamp (SL) images of OSSN disease, non-OSSN ocular surface lesions (OOSD) and normal ocular surfaces (N) were collected (2013-2023). Images with minimum resolution of 1024 x 102
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Table_4_Flavoprotein fluorescence elevation is a marker of mitochondrial oxidative stress in patients with retinal disease.docx
Published on (4 days ago)
PurposeRecent studies of glaucoma, age-related macular degeneration, and diabetic retinopathy have demonstrated that flavoprotein fluorescence (FPF) can be utilized non-invasively as an indicator of mitochondrial oxidative stress in the retina. However, a comprehensive assessment of the validity and reliability of FPF in differentiating between healthy and diseased eyes across multiple disease states is lacking. Here, we evaluate the sensitivity and specificity of FPF in discriminating between h
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Demographic data for total cohort and subdivided into glaucoma suspects and glaucoma patients: Age, gender, intraocular pressure at the day of examination with glaucoma therapy (IOP), number of antigl
Published on (4 days ago)
Demographic data for total cohort and subdivided into glaucoma suspects and glaucoma patients: Age, gender, intraocular pressure at the day of examination with glaucoma therapy (IOP), number of antiglaucomatous eye drops, best corrected visual acuity (BCVA): Mean±SD; number family history of glaucoma, diabetes, hypertension.
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Baseline values and SFCTs by gender.
Published on (4 days ago)
PurposeThe aim was to analyze the association of subfoveal choroidal thickness (SFCT) with age, best-corrected visual acuity, refractive error, and axial length in Taiwan pediatric population.MethodsA total of 374 eyes in 187 children were enrolled in this retrospective cross-sectional comparative study, who underwent examinations of best-corrected visual acuity (BCVA), cycloplegic refraction, and axial length (AL). Subfoveal choroidal thickness was assessed utilizing spectral domain enhanced de
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Table 2_Improved MRI methods to quantify retinal and choroidal blood flow applied to a model of glaucoma.xlsx
Published on (4 days ago)
PurposeBlood flow (BF) of the retinal and choroidal vasculatures can be quantitatively imaged using MRI. This study sought to improve methods of data acquisition and analysis for MRI of layer-specific retinal and choroidal BF and then applied this approach to detect reduced ocular BF in a well-established mouse model of glaucoma from both eyes.MethodsQuantitative BF magnetic resonance imaging (MRI) was performed on glaucomatous DBA/2J and normal C57BL/6J mice. Arterial spin labeling MRI was appl
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Female regression coefficient in multivariate analysis controlling for age with macular sectorial thickness values as outcome.
Published on (4 days ago)
Female regression coefficient in multivariate analysis controlling for age with macular sectorial thickness values as outcome.
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Performance metrics of the BRSET for the four selected classification tasks.
Published on (4 days ago)
The tasks are binary diabetic retinopathy classification, three-class diabetic retinopathy state classification (normal, non-proliferative, and proliferative), diabetes mellitus prediction, and sex prediction.
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Dataset for RSOS-211108
Published on (4 days ago)
The tomography of participants' right eyes measuring by optical OCT and rotating Scheimpflug imaging (OCULUS Pentacam ). A custom-built MATLAB code for automatic segmentation of corneal OCT images.
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Steady-State Visual-Evoked EEG Dataset for Visual Function Assessment via Biomarker Extraction
Published on (4 days ago)
According to the data from the World Health Organization, patients with visual function disorders, such as amblyopia and intermittent exotropia, have increased significantly and become an important factor contributing to the global burden of disease.Currently, existing research has found that many human visual function disorders can be reflected in abnormal brain activities without ocular damage. The main clinical methods currently rely on subjective psychophysical tests and ophthalmological exa
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Table 1_Retinal assessment in 143 patients with white matter lesions: the potential of OCTA as an evaluation tool.docx
Published on (4 days ago)
BackgroundThe retina is a simple window to reflect the changes of brain nerves. The aim of this study was to investigate the association between retinal status and white matter lesions (WMLs) in 143 patients aged 50–80 years, utilizing Optical Coherence Tomography Angiography (OCTA) and the Fazekas Visual Scale for assessment.MethodsA total of 143 subjects underwent MRI scanning to assess the degree of WMLs using the Fazekas scale. Retinal imaging was conducted utilizing OCTA. Multivariate logis
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Macular ganglion cell layer thickness distribution by age group, showing mean, first, fifth and 95th percentile values for each segment.
Published on (4 days ago)
Macular ganglion cell layer thickness distribution by age group, showing mean, first, fifth and 95th percentile values for each segment.
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Anatomical Characterization of an Optic Disc Notch Using SD-OCT in Glaucoma
Published on (4 days ago)
Purpose: To characterize anatomical dimensions of a disc notch using novel methods using spectral domain optical coherence tomography (SD-OCT). Participants: All age- and severity-matched glaucoma patients with disc notch (defined as complete loss of neural rim with no residual rim between disc and cup) seen from 2014 to 2015 who underwent enhanced depth imaging with SD-OCT (Cirrus HD-OCT version 6.5, Carl Zeiss, USA) were included for this retrospective observational study. Methods: Using known
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Assessment of inner and outer retinal layer metrics on the cirrus HD-OCT platform in normal eyes, demographic features.
Published on (4 days ago)
Assessment of inner and outer retinal layer metrics on the cirrus HD-OCT platform in normal eyes, demographic features.
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OCT-angiography: A qualitative and quantitative comparison of 4 OCT-A devices
Published on (4 days ago)
PurposeTo compare the quality of four OCT-angiography(OCT-A) modules.MethodThe retina of nineteen healthy volunteers were scanned with four OCT-devices (Topcon DRI-OCT Triton Swept-source OCT, Optovue RTVue-XR, a prototype Spectralis OCT2, Heidelberg-Engineering and Zeiss Cirrus 5000-HD-OCT). The device-software generated en-face OCT-A images of the superficial (SCP) and deep capillary plexuses (DCP) were evaluated and scored by 3 independent retinal imaging experts. The SCP vessel density was a
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Published on (4 days ago)
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Table_5_Flavoprotein fluorescence elevation is a marker of mitochondrial oxidative stress in patients with retinal disease.docx
Published on (4 days ago)
PurposeRecent studies of glaucoma, age-related macular degeneration, and diabetic retinopathy have demonstrated that flavoprotein fluorescence (FPF) can be utilized non-invasively as an indicator of mitochondrial oxidative stress in the retina. However, a comprehensive assessment of the validity and reliability of FPF in differentiating between healthy and diseased eyes across multiple disease states is lacking. Here, we evaluate the sensitivity and specificity of FPF in discriminating between h
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Utility of standard diffusion-weighted magnetic resonance imaging for the identification of ischemic optic neuropathy in giant cell arteritis
Published on (4 days ago)
Purpose: To assess diffusion abnormalities of the optic nerve (ON) in giant cell arteritis (GCA) patients with acute onset of visual impairment (VI) using diffusion-weighted magnetic resonance imaging (DWI). Methods: DWI scans of GCA patients with acute VI were evaluated in a case-control study. Two blinded neuroradiologists assessed randomized DWI scans of GCA and controls for ON restricted diffusion. Statistical quality criteria and inter-
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S1 Data -
Published on (4 days ago)
(XLSX)
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Distribution of retina images according to diagnoses and anatomical criteria.
Published on (4 days ago)
Distribution of retina images according to diagnoses and anatomical criteria.
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Table_1_Retinal microvasculature and imaging markers of brain frailty in normal aging adults.docx
Published on (4 days ago)
BackgroundThe retina and brain share a similar embryologic origin, blood barriers, and microvasculature features. Thus, retinal imaging has been of interest in the aging population to help in the early detection of brain disorders. Imaging evaluation of brain frailty, including brain atrophy and markers of cerebral small vessel disease (CSVD), could reflect brain health in normal aging, but is costly and time-consuming. In this study, we aimed to evaluate the retinal microvasculature and its ass
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Data from: Development of machine learning models for diagnosis of glaucoma
Published on (4 days ago)
The study aimed to develop machine learning models that have strong prediction power and interpretability for diagnosis of glaucoma based on retinal nerve fiber layer (RNFL) thickness and visual field (VF). We collected various candidate features from the examination of retinal nerve fiber layer (RNFL) thickness and visual field (VF). We also developed synthesized features from original features. We then selected the best features proper for classification (diagnosis) through feature evaluation.
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DataSheet_1_Efficiency and Complication of 577-nm Laser Membranotomy for the Treatment of Retinal Sub-Inner Limiting Membrane Hemorrhage.docx
Published on (4 days ago)
ObjectiveWe investigated the clinical efficiency and complications of treatment of retinal sub-inner limiting membrane (sub-ILM) hemorrhage by 577-nm semiconductive laser membranotomy.MethodsThe clinical features, ocular fundus photography, and SD-OCT image of patients who received 577-nm laser membranotomy for sub-ILM hemorrhage were assessed from January 2017 to April 2022 in this retrospective case-series study.ResultsA total of 19 patients (19 eyes) were treated for sub-ILM hemorrhage of the
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A robust technique based on VLM and Frangi filter for retinal vessel extraction and denoising
Published on (4 days ago)
The exploration of retinal vessel structure is colossally important on account of numerous diseases including stroke, Diabetic Retinopathy (DR) and coronary heart diseases, which can damage the retinal vessel structure. The retinal vascular network is very hard to be extracted due to its spreading and diminishing geometry and contrast variation in an image. The proposed technique consists of unique parallel processes for denoising and extraction of blood vessels in retinal images. In the preproc
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Table_1_Deep learning-based classification system of bacterial keratitis and fungal keratitis using anterior segment images.DOCX
Published on (4 days ago)
IntroductionInfectious keratitis is a vision threatening disease. Bacterial and fungal keratitis are often confused in the early stages, so right diagnosis and optimized treatment for causative organisms is crucial. Antibacterial and antifungal medications are completely different, and the prognosis for fungal keratitis is even much worse. Since the identification of microorganisms takes a long time, empirical treatment must be started according to the appearance of the lesion before an accurate
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Data Sheet 1_Retinal and choroidal blood flow changes in dialysis patients assessed by wide-field swept-source optical coherence tomography angiography.docx
Published on (4 days ago)
PurposeThe study utilized wide-field swept-source optical coherence tomography angiography (SS-OCTA) to examine the alterations in retinal and choroidal blood flow in patients with end-stage renal disease (ESRD) before and after hemodialysis.MethodsForty-two eyes of 24 participants with end-stage renal disease were enrolled in this prospective and cross-sectional study. A full ophthalmic examination was conducted on each participant 1 h before and after hemodialysis, which included wide-field SS
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Table_1_Challenges in Age-Related Macular Degeneration: From Risk Factors to Novel Diagnostics and Prevention Strategies.DOCX
Published on (4 days ago)
Age-related macular degeneration (AMD) is a chronic multifactorial eye disease representing the primary cause of vision loss in people aged 60 years and older. The etiopathogenesis of the disease remains uncertain, with several risk factors contributing to its onset and progression, such as genotype, aging, hypertension, smoking, overweight, and low dietary intake of carotenoids. Since the aging populations of the industrialized world are increasing rapidly, the impact of AMD in the socio-econom
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Table 4_Improved MRI methods to quantify retinal and choroidal blood flow applied to a model of glaucoma.csv
Published on (4 days ago)
PurposeBlood flow (BF) of the retinal and choroidal vasculatures can be quantitatively imaged using MRI. This study sought to improve methods of data acquisition and analysis for MRI of layer-specific retinal and choroidal BF and then applied this approach to detect reduced ocular BF in a well-established mouse model of glaucoma from both eyes.MethodsQuantitative BF magnetic resonance imaging (MRI) was performed on glaucomatous DBA/2J and normal C57BL/6J mice. Arterial spin labeling MRI was appl
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Interscanner Agreement Indices for Retinal Nerve Fiber Layer Thickness and Total Macular Volume measurements Among Cirrus HD-OCT vs. Stratus and Cirrus HD-OCT vs. Spectralis Study Participants.
Published on (4 days ago)
Abbreviations: OCT: Optical coherence tomography; RNFL: Retinal nerve fiber layer; TMV: Total macular volume; SD: Standard deviation.
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Table 1_Improved MRI methods to quantify retinal and choroidal blood flow applied to a model of glaucoma.csv
Published on (4 days ago)
PurposeBlood flow (BF) of the retinal and choroidal vasculatures can be quantitatively imaged using MRI. This study sought to improve methods of data acquisition and analysis for MRI of layer-specific retinal and choroidal BF and then applied this approach to detect reduced ocular BF in a well-established mouse model of glaucoma from both eyes.MethodsQuantitative BF magnetic resonance imaging (MRI) was performed on glaucomatous DBA/2J and normal C57BL/6J mice. Arterial spin labeling MRI was appl
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Characteristics of the study participants.
Published on (4 days ago)
PurposeTo investigate variation in reflectivity of choroidal layers in normal eyes.MethodsFrom the swept-source optical coherence tomography database, we retrospectively included eyes with a normal fundus. Choroidal reflectivity was measured on the horizontal and vertical B-scan optical coherence tomography images. The optical barrier of the choroid was defined as the first hill in the middle of the reflectance graph from the retinal pigment epithelium-Bruch’s membrane complex to the chorioscler
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Baseline values and SFCTs by age.
Published on (4 days ago)
PurposeThe aim was to analyze the association of subfoveal choroidal thickness (SFCT) with age, best-corrected visual acuity, refractive error, and axial length in Taiwan pediatric population.MethodsA total of 374 eyes in 187 children were enrolled in this retrospective cross-sectional comparative study, who underwent examinations of best-corrected visual acuity (BCVA), cycloplegic refraction, and axial length (AL). Subfoveal choroidal thickness was assessed utilizing spectral domain enhanced de
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Table_1_Flavoprotein fluorescence elevation is a marker of mitochondrial oxidative stress in patients with retinal disease.docx
Published on (4 days ago)
PurposeRecent studies of glaucoma, age-related macular degeneration, and diabetic retinopathy have demonstrated that flavoprotein fluorescence (FPF) can be utilized non-invasively as an indicator of mitochondrial oxidative stress in the retina. However, a comprehensive assessment of the validity and reliability of FPF in differentiating between healthy and diseased eyes across multiple disease states is lacking. Here, we evaluate the sensitivity and specificity of FPF in discriminating between h
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Data from: The Moorfields AMD database report 2 - fellow eye involvement with neovascular age-related macular degeneration
Published on (4 days ago)
Background/Aims: Neovascular age-related macular degeneration (nAMD) is frequently bilateral, and previous reports on ‘fellow eyes’’ have assumed sequential treatment after a period of treatment of the first eye only. The aim of our study was to analyse baseline characteristics and visual acuity (VA) outcomes of fellow eye involvement with nAMD, specifically differentiating between sequential and non-sequential (due to macular scarring in the first eye) anti-vascular endothelial growth
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Macular retinal thickness distribution by age group, showing mean, first, fifth and 95th percentile values for each segment.
Published on (4 days ago)
Macular retinal thickness distribution by age group, showing mean, first, fifth and 95th percentile values for each segment.
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Area under the curve (AUC) for sectorial macula VD in SVP, ICP, and DCP (a) and glaucoma morphometric parameters (BMO-MRW, RNF (inner, middle, outer ring), GCL, INL, (b).
Published on (4 days ago)
Area under the curve (AUC) for sectorial macula VD in SVP, ICP, and DCP (a) and glaucoma morphometric parameters (BMO-MRW, RNF (inner, middle, outer ring), GCL, INL, (b).
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Effects of capsular tension ring on surgical outcomes of premium intraocular lens in patients with suspected zonular weakness
Published on (4 days ago)
Purpose: To assess the influence of capsular tension ring (CTR) on surgical outcomes of toric and multifocal intraocular lenses (IOLs) in eyes at high risk of zonular instability. Methods: Fifty-five eyes of 43 patients who had undergone phacoemulsification and IOL implantation were included in the analysis. They had some risk of zonular weakness, such as pseudoexfoliation, shallow anterior cha
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Anti-vegf therapy in diabetic macular oedema patients over four years
Published on (4 days ago)
OBJECTIVES: To evaluate visual acuity (VA) outcomes of intravitreal anti-vascular endothelial growth factor (VEGF) in diabetic macular oedema (DMO). METHODS: In this retrospective cohort study, electronic medical records for all patients undergoing intravitreal injections (IVI) in a tertiary referral centre between March 2013 and October 2018 were analysed. Treatment response in terms of visual acuity outcomes were reported for
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Australian Bureau of Statistics Australian Standard Classification of Cultural and Ethnic Groups broad group classification of participants.
Published on (4 days ago)
Australian Bureau of Statistics Australian Standard Classification of Cultural and Ethnic Groups broad group classification of participants.
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The mean presentation archetype percent weights (AT PWs) and average mean deviation (MD) values at presentation and final visits for clinic visual fields (VFs) with presentation AT PWs above and below
Published on (4 days ago)
95% confidence intervals are shown in parentheses.
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Assessment of inner and outer retinal layer metrics on the cirrus HD-OCT platform in normal eyes, metrics in entire cohort and sex breakdown.
Published on (4 days ago)
Assessment of inner and outer retinal layer metrics on the cirrus HD-OCT platform in normal eyes, metrics in entire cohort and sex breakdown.
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Original data.
Published on (4 days ago)
BackgroundChronic cerebral hypoperfusion triggers the development of white matter hyperintensities (WMHs), common in cerebral small vessel disease (CSVD). However, conventional imaging techniques cannot visualize cerebral small vessels. The retina, a direct extension of the central nervous system, has an unclear correlation with WMHs. This study employs Optical coherence tomographic angiography (OCTA) to investigate vascular changes in the retina and explore its correlation with WMHs, aiming to
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Ocular parameters of the study participants.
Published on (4 days ago)
PurposeTo investigate the heritability of genetic influence on macular choroidal vascularity index (CVI).MethodsTotal choroidal area (TCA), luminal area (LA), and CVI was measured using horizontal scan of spectral-domain optical coherence tomography with enhanced depth imaging in the 373 healthy twin participants. Characteristics of the participants were investigated, including age, sex, axial length, hypertension, diabetes, drinking habits, and smoking status. Univariate and subsequent multivar
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Optical coherence tomography for glaucoma diagnosis: An evidence based meta-analysis
Published on (4 days ago)
PurposeEarly detection, monitoring and understanding of changes in the retina are central to the diagnosis of glaucomatous optic neuropathy, and vital to reduce visual loss from this progressive condition. The main objective of this investigation was to compare glaucoma diagnostic accuracy of commercially available optical coherence tomography (OCT) devices (Zeiss Stratus, Zeiss Cirrus, Heidelberg Spectralis and Optovue RTVue, and Topcon 3D-OCT).Patients16,104 glaucomatous and 11,543 normal eyes
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The effect of vitamin D deficiency on the retinal microvasculature: an observational case-control study
Published on (4 days ago)
ABSTRACT Purpose: To determine the effects of vitamin D deficiency on retinal microvascularity using optical coherence tomography angiography. Methods: This study was designed as an observational case-control study. Ninety-eight eyes of patients with vitamin D deficiency and 96 eyes of healthy participants with serum vitamin D level >30 ng/mL were studied. Macula centered, 6.00 × 6.00 mm scan size images were taken. The vessel densities in the superficial and deep retinal capillary plexus, fov
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Coefficients of repeatability of choroidal thickness measurements using swept source (SS) and spectral domain (SD) optical coherence tomography (OCT) in patients with choroidal thickness ≥ 400 μm (35
Published on (4 days ago)
Coefficients of repeatability of choroidal thickness measurements using swept source (SS) and spectral domain (SD) optical coherence tomography (OCT) in patients with choroidal thickness ≥ 400 μm (35 eyes).
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Type III tests of fixed effects for SVP (a), ICP (b), and DCP (c): Diagnosis, OCT-A sector, age and the interaction diagnosis with sector is presented.
Published on (4 days ago)
Type III tests of fixed effects for SVP (a), ICP (b), and DCP (c): Diagnosis, OCT-A sector, age and the interaction diagnosis with sector is presented.
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Patient characteristics.
Published on (4 days ago)
PurposeThe aim was to analyze the association of subfoveal choroidal thickness (SFCT) with age, best-corrected visual acuity, refractive error, and axial length in Taiwan pediatric population.MethodsA total of 374 eyes in 187 children were enrolled in this retrospective cross-sectional comparative study, who underwent examinations of best-corrected visual acuity (BCVA), cycloplegic refraction, and axial length (AL). Subfoveal choroidal thickness was assessed utilizing spectral domain enhanced de
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Errors for original estimate and estimates after simple correction and after re-training.
Published on (4 days ago)
Errors for original estimate and estimates after simple correction and after re-training.
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Data Sheet 1_A scoping review of advancements in machine learning for glaucoma: current trends and future direction.zip
Published on (4 days ago)
IntroductionMachine learning technology has demonstrated significant potential in glaucoma research, particularly in early diagnosis, predicting disease progression, evaluating treatment responses, and developing personalized treatment strategies. The application of machine learning not only enhances the understanding of the pathological mechanism of glaucoma and optimizes the diagnostic process but also provides patients with accurate medical services.MethodsThis study aimed to describe the cur
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Demographics and ocular data including macular ganglion cell layer plus inner plexiform layer (mGCIPL), mGCIPL plus nerve fiber layer (mGCC) and total retinal layer (TRL) measurements by swept source
Published on (4 days ago)
Demographics and ocular data including macular ganglion cell layer plus inner plexiform layer (mGCIPL), mGCIPL plus nerve fiber layer (mGCC) and total retinal layer (TRL) measurements by swept source optical coherence tomography (SS-OCT) wide scan and standard macula scan, and circumpapillary retinal nerve fiber layer (cpRNFL) measurements by SS-OCT wide scan and standard disc scan of normal subjects and glaucoma patients.
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Mean (a) and sectorial (1–12, b) vessel density in SVP, ICP, and DCP for controls, patients with OHT and pre-OAG.
Published on (4 days ago)
Mean (a) and sectorial (1–12, b) vessel density in SVP, ICP, and DCP for controls, patients with OHT and pre-OAG.
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Comparison of clinic and Idiopathic Intracranial Hypertension Treatment Trial (IIHTT) eyes using mean deviation (MD) characteristics (both study and fellow eyes were included).
Published on (4 days ago)
*The range of MD values for study eyes included in the IIHTT was -7.00 to -2.00 dB, but fellow eyes were typically better than the study eye.
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Total deviation (TD) values of each visual field test point and the overall mean deviation (MD) of each visual field from clinic patient eyes.
Published on (4 days ago)
Columns H through BG correspond to the 54 points tested in a 24–2 visual field. Points 26 and 35 correspond to the physiologic blind spot and were omitted. (XLSX)
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Data_Sheet_1_AC-ASPECTS, ACh-ASPECTS, and H-ASPECTS: new imaging scales to assess territorial and total cerebral hemispheric ischemic injury.docx
Published on (4 days ago)
BackgroundThe extent of ischemic injury in acute stroke is assessed in clinical practice using the Acute Stroke Prognosis Early CT Score (ASPECTS) rating system. However, current ASPECTS semi-quantitative topographic scales assess only the middle cerebral artery (MCA) (original ASPECTS) and posterior cerebral (PC-ASPECTS) territories. For treatment decision-making in patients with anterior cerebral artery (ACA) occlusions and internal carotid artery (ICA) occlusions with large ischemic cores, me
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Macular inner plexiform layer thickness distribution by age group, showing mean, first, fifth and 95th percentile values for each segment.
Published on (4 days ago)
Macular inner plexiform layer thickness distribution by age group, showing mean, first, fifth and 95th percentile values for each segment.
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Table_2_Flavoprotein fluorescence elevation is a marker of mitochondrial oxidative stress in patients with retinal disease.docx
Published on (4 days ago)
PurposeRecent studies of glaucoma, age-related macular degeneration, and diabetic retinopathy have demonstrated that flavoprotein fluorescence (FPF) can be utilized non-invasively as an indicator of mitochondrial oxidative stress in the retina. However, a comprehensive assessment of the validity and reliability of FPF in differentiating between healthy and diseased eyes across multiple disease states is lacking. Here, we evaluate the sensitivity and specificity of FPF in discriminating between h
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Data Sheet 1_A deep learning-assisted automatic measurement of tear meniscus height on ocular surface images and its application in myopia control.pdf
Published on (4 days ago)
PurposeModalities for myopia control, such as orthokeratology, repeated low-intensity red light (RLRL) treatment, and low-concentration atropine, have become popular topics. However, the effects of these three modalities on ocular surface health remain unclear. The tear meniscus height (TMH), a crucial criterion for evaluating ocular surface health and diagnosing dry eye, is conventionally measured via manual demarcation of ocular surface images, which is inefficient and involves subjective judg
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Mean and standard deviation of macular ganglion cell layer thickness obtained with horizontal and vertical scans in the control group and early glaucoma patients, and comparison between groups.
Published on (4 days ago)
Mean and standard deviation of macular ganglion cell layer thickness obtained with horizontal and vertical scans in the control group and early glaucoma patients, and comparison between groups.
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Data_Sheet_1_Deep learning-based estimation of axial length using macular optical coherence tomography images.docx
Published on (4 days ago)
BackgroundThis study aimed to develop deep learning models using macular optical coherence tomography (OCT) images to estimate axial lengths (ALs) in eyes without maculopathy.MethodsA total of 2,664 macular OCT images from 444 patients’ eyes without maculopathy, who visited Beijing Hospital between March 2019 and October 2021, were included. The dataset was divided into training, validation, and testing sets with a ratio of 6:2:2. Three pre-trained models (ResNet 18, ResNet 50, and ViT) were dev
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The correlation between optical coherence tomography retinal shape irregularity and axial length
Published on (4 days ago)
PurposeTo describe the retinal contour in optical coherence tomography (OCT) images, and report the relationship between retinal contour and axial length.MethodsRetinal contour was defined by the path of the retinal pigment epithelial (RPE) line in macular and extra-macular OCTs of 70 eyes of 70 participants recruited from ophthalmology clinics in South Australia. The shape of this contour was described by the best-fit curvature (K), and Fourier analysis of the difference between K and the RPE.
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Data_Sheet_1_Foveal Phase Retardation Correlates With Optically Measured Henle Fiber Layer Thickness.DOCX
Published on (4 days ago)
This study quantified and compared phase retardation distribution in the central macula with the thickness of the Henle fiber layer (HFL). A scanning laser polarimeter (SLP) was used to acquire 20° × 40° macular-centered images, either with fixed corneal compensation or with variable corneal compensation, in two cohorts of clinically normal subjects (N = 36). Phase retardation maps from SLP imaging were used to generate a macular cross pattern (fixed compensation) or an annulus pattern (variable
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Assessment of inner and outer retinal layer metrics on the cirrus HD-OCT platform in normal eyes. Comparison to age.
Published on (4 days ago)
Assessment of inner and outer retinal layer metrics on the cirrus HD-OCT platform in normal eyes. Comparison to age.
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Quantitative comparison on public datasets.
Published on (4 days ago)
ProblemLow-quality fundus images with complex degredation can cause costly re-examinations of patients or inaccurate clinical diagnosis.AimThis study aims to create an automatic fundus macular image enhancement framework to improve low-quality fundus images and remove complex image degradation.MethodWe propose a new deep learning-based model that automatically enhances low-quality retinal fundus images that suffer from complex degradation. We collected a dataset, comprising 1068 pairs of high-qu
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Summary of the vessel variables with the p- values, showing the differences between DR and RVO groups.
Published on (4 days ago)
Summary of the vessel variables with the p- values, showing the differences between DR and RVO groups.
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Agreement between wide and standard macula scan measurements for macular thickness parameters, and wide and standard disc scan for circumpapillary retinal nerve fiber layer (cpRNFL) thickness paramete
Published on (4 days ago)
Agreement between wide and standard macula scan measurements for macular thickness parameters, and wide and standard disc scan for circumpapillary retinal nerve fiber layer (cpRNFL) thickness parameters.
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Supplementary Material for: Vitreous Noise on Optical Coherence Tomography as an Early Finding of Brolucizumab-Related Intraocular Inflammation
Published on (4 days ago)
We describe a case of brolucizumab-related intraocular inflammation (IOI) detected using vitreous haze on optical coherence tomography (OCT) at an early stage before the patient was aware of any symptom. A 69-year-old female presented with decreased right vision. The patient was diagnosed with pachychoroidal neovasculopathy and started intravitreal aflibercept (IVA) with a 3+ treat-and-extend strategy (TAE). Although the serous retinal detachment (SRD) disappeared after IVA treatment, the patien
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Table_1_Macular Vessel Density Changes in Young Adults With High Myopia: A Longitudinal Study.DOCX
Published on (4 days ago)
Background: To characterize the longitudinal changes of macular vessel density in young adults and its associated factors.Methods: The right eyes of 309 participants (75 high myopic, 194 mild-to-moderate myopic, and 40 healthy) were followed up for 21 months. OCTA images were acquired at two visits using follow-up scans. Macular vessel density was calculated globally and in the nine early treatment diabetic retinopathy study (ETDRS) subfields of the macula superficial layer.Results: The macular
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Optical coherence tomography angiography: microvascular alterations in diabetic eyes without diabetic retinopathy
Published on (4 days ago)
ABSTRACT Purpose: To describe microvascular changes in the maculas of individuals with type 2 diabetes observed on optical coherence tomography angiography (OCTA) images. We compared the maculas of diabetic subjects without diabetic retinopathy with those of healthy subjects and correlated the findings with the clinical profiles of diabetic subjects. Methods: One eye each of 30 patients with diabetes and 30 healthy individuals were examined. The patients with diabetes underwent funduscopy, ret
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Statistical analysis of OCTA biomarkers on the 26-image dataset.
Published on (4 days ago)
Statistical analysis of OCTA biomarkers on the 26-image dataset.
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S3 File -
Published on (4 days ago)
Myopic Choroidal neovascularization (mCNV) is one of the most common vision-threatening com- plications of pathological myopia among many retinal diseases. Optical Coherence Tomography Angiography (OCTA) is an emerging newer non-invasive imaging technique and is recently being included in the investigation and treatment of mCNV. However, there exists no standard tool for time-efficient and dependable analysis of OCTA images of mCNV. In this study, we propose a customizable ImageJ macro that auto
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S2 File -
Published on (4 days ago)
Myopic Choroidal neovascularization (mCNV) is one of the most common vision-threatening com- plications of pathological myopia among many retinal diseases. Optical Coherence Tomography Angiography (OCTA) is an emerging newer non-invasive imaging technique and is recently being included in the investigation and treatment of mCNV. However, there exists no standard tool for time-efficient and dependable analysis of OCTA images of mCNV. In this study, we propose a customizable ImageJ macro that auto
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The Role of Widefield Optical Coherence Tomography Angiography in the Diagnosis and Management of Acute Vogt–Koyanagi–Harada Disease
Published on (4 days ago)
We explore the choroid vasculature changes of acute Vogt–Koyanagi–Harada (VKH) disease using widefield optical coherence tomography angiography (OCTA). In this retrospective, observational, longitudinal study, 16 patients with acute VKH disease (32 eyes, mean age: 42.19 ±13.66 years) were measured using widefield OCTA. In this study, we first described the multiple dark foci in choriocapillaris and Sattler’s layer in the panoramic montage of the five 12x12mm images in 30 eyes (93.8%) of acute VK
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Table_1_Case report: Sympathetic ophthalmia after vitrectomies in a patient with Von Hippel–Lindau syndrome.XLS
Published on (4 days ago)
BackgroundSympathetic ophthalmia (SO) is a rare but sight-threatening uveitis, and most observations have been made after typical manifestations occur. This report focuses on the choroidal changes detected by multimodal imaging at the presymptomatic stage of SO, which is implicated in the early recognition of SO.Case presentationA 21-year-old woman suffered from decreased vision in the right eye and was diagnosed with retinal capillary hemangioblastomas associated with Von Hippel–Lindau syndrome
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Table_1_Acute hyperglycemia compromises the responses of choroidal vessels using swept-source optical coherence tomography during dark and light adaptations.docx
Published on (4 days ago)
PurposeTo clarify the effects of acute hyperglycemia on the responses of choroidal structural components and vascularity index during light modulation in healthy participants using techniques including image binarization and artificial intelligence (AI) segmentation based on swept-source optical coherence tomography (SS-OCT).MethodsTwenty-four eyes of 24 healthy participants were imaged at different stages after ambient light, 40 min of dark adaptation, and 5 min of light adaptation in two imagi
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Table 1_Trends in utilization of imaging among ophthalmic-related emergency department visits in the United States.docx
Published on (4 days ago)
BackgroundAdvanced neuroimaging use has increased in U.S. emergency departments (EDs), including for neuro-ophthalmic conditions requiring computed tomography (CT) or magnetic resonance imaging (MRI) and their use has shifted in recent years amid changing care patterns and the COVID-19 pandemic. To evaluate these changes, this study examined national trends of CT and MRI use for eye-related ED visits from 2016 to 2022.Materials and methodsA retrospective trend study was conducted using 2016–2022
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Comparative table with open-access ophthalmological datasets.
Published on (4 days ago)
Comparative table with open-access ophthalmological datasets.
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Proposed and state-of-the-artwork comparison.
Published on (4 days ago)
The integration of artificial intelligence (AI) in diagnosing diabetic retinopathy, a major contributor to global vision impairment, is becoming increasingly pronounced. Notably, the detection of vision-threatening diabetic retinopathy (VTDR) has been significantly fortified through automated techniques. Traditionally, the reliance on manual analysis of retinal images, albeit slow and error-prone, constituted the conventional approach. Addressing this, our study introduces a novel methodology th
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Proposed and state-of-the-artwork comparison.
Published on (4 days ago)
The integration of artificial intelligence (AI) in diagnosing diabetic retinopathy, a major contributor to global vision impairment, is becoming increasingly pronounced. Notably, the detection of vision-threatening diabetic retinopathy (VTDR) has been significantly fortified through automated techniques. Traditionally, the reliance on manual analysis of retinal images, albeit slow and error-prone, constituted the conventional approach. Addressing this, our study introduces a novel methodology th
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Predicting incremental and future visual change in neovascular age-related macular degeneration using deep learning
Published on (4 days ago)
Purpose To evaluate the predictive utility of quantitative imaging biomarkers, acquired automatically from optical coherence tomography (OCT) scans, of cross-sectional and future visual outcomes of patients with neovascular age-related macular degeneration (AMD) starting anti-vascular endothelial growth factor (VEGF) therapy. Design Retrospective cohort study. Methods Automatic segmentation was ca
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Accuracy of biomicroscopy, ultrasonography and spectral-domain OCT in detection of complete posterior vitreous detachment
Published on (4 days ago)
Purpose : To evaluate the accuracy of pre-operative biomicroscopy (BM), ultrasonography (US), and spectral domain optical coherence tomography (SD-OCT) for determining complete posterior vitreous detachment (PVD) confirmed by intraoperative findings of triamcinolone acetonide-assisted pars plana vitrectomy (PPV). Design : This was a prospective, consecutive, interventional case series.
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Data from: Human retinal pigment epithelium: in vivo cell morphometry, multispectral autofluorescence, and relationship to cone mosaic
Published on (4 days ago)
Purpose: To characterize in vivo morphometry and multispectral autofluorescence of the retinal pigment epithelial (RPE) cell mosaic and its relationship to cone cell topography across the macula. Methods: RPE cell morphometrics were computed in regularly spaced regions of interest (ROIs) from contiguous short-wavelength autofluorescence (SWAF) and photoreceptor reflectance images collected across the macula in one eye of 10 normal participants (23–65 years) by using adaptive optics scanning l
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Morphometric analysis of retinal ganglionic cells (3D confocal images) analyzed using filament tracer from Imaris software
Published on (4 days ago)
This dataset contains high-resolution 3D confocal microscopy images of retinal ganglion cells (RGCs) from the retina of mole-rat models Fukomys mechowii and Fukomys anselli . The raw images were originally obtained as .tif files and later converted into. ims format for use with Imaris Software. The Imaris filament tracer extension was used to trace the dendritic structures of RGCs, while the soma surfaces were traced separately. These post-processed images are part of a study
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Code from: The retinal age gap: An affordable and highly accessible biomarker for population-wide disease screening across the globe
Published on (4 days ago)
Traditional biomarkers, such as those obtained from blood tests, are essential for early disease detection, improving health outcomes, and reducing healthcare costs. However, they often involve invasive procedures, specialized laboratory equipment, or special handling of biospecimens. The retinal age gap (RAG) has emerged as a promising new biomarker that can overcome these limitations, making it particularly suitable for disease screening in low- and middle-income countries. This study aimed
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Base de datos.xlsx
Published on (4 days ago)
Dataset from the study "Changing trends in ophthalmological emergencies during the COVID-19 pandemic"
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Table_1_Prognosis Prediction of Uveal Melanoma After Plaque Brachytherapy Based on Ultrasound With Machine Learning.DOCX
Published on (4 days ago)
IntroductionUveal melanoma (UM) is the most common intraocular malignancy in adults. Plaque brachytherapy remains the dominant eyeball-conserving therapy for UM. Tumor regression in UM after plaque brachytherapy has been reported as a valuable prognostic factor. The present study aimed to develop an accurate machine-learning model to predict the 4-year risk of metastasis and death in UM based on ocular ultrasound data.Material and MethodsA total of 454 patients with UM were enrolled in this retr
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Table 1_Comparison of widefield swept-source optical coherence tomography angiography and ultra-widefield fluorescein angiography in the detection of non-perfusion areas in diabetic retinopathy.docx
Published on (4 days ago)
PurposeTo compare the detection of non-perfusion areas (NPAs) in diabetic retinopathy (DR) using 24×20 mm widefield swept-source optical coherence tomography angiography (SS-OCTA) and ultra-widefield fluorescein angiography (UWFA), and to explore NPA distribution patterns.MethodsThis retrospective study included 64 eyes from 48 DR patients who underwent 24×20 mm SS-OCTA and UWFA examinations. NPAs were manually annotated, and the detection rates and distribution patterns across retinal quadrants
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AOSLO Multi-spectral AF Images
Published on (4 days ago)
The retinal pigment epithelium (RPE) is vital for the healthy function of the retina. Cellular level changes in the RPE are not visualized with current clinical techniques due to a lack of spatial resolution. Fluorescence adaptive optics scanning light ophthalmoscopy (AOSLO) can image RPE cells by utilizing their intrinsic autofluorescence (AF). The RPE AF has been imaged with only a few discrete excitation and emission bands and the multi-spectral AF has not been interrogated systematically at
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Data Sheet 1_Minimum intensity projection of embossed quadrant-detection images for improved photoreceptor mosaic visualisation.zip
Published on (4 days ago)
Non-confocal split-detection imaging reveals the cone photoreceptor inner segment mosaic in a plethora of retinal conditions, with the potential of providing insight to ageing, disease, and response to treatment processes, in vivo, and allows the screening of candidates for cell rescue therapies. This imaging modality complements confocal reflectance adaptive optics scanning light ophthalmoscopy, which relies on the waveguiding properties of cones, as well as their orientation toward the pupil.
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De-warping of images and improved eye tracking for the scanning laser ophthalmoscope
Published on (4 days ago)
A limitation of scanning laser ophthalmoscopy (SLO) is that eye movements during the capture of each frame distort the retinal image. Various sophisticated strategies have been devised to ensure that each acquired frame can be mapped quickly and accurately onto a chosen reference frame, but such methods are blind to distortions in the reference frame itself. Here we explore a method to address this limitation in software, and demonstrate its accuracy. We used high-speed (200 fps), high-resolutio
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Examples of misclassified images of papilledema severity by the Deep Learning System
Published on (4 days ago)
The study's objective is to evaluate the performance of a deep learning system (DLS) in classifying the severity of papilledema associated with increased intracranial pressure, on standard retinal fundus photographs. A DLS was trained to automatically classify papilledema severity in 965 patients (2103 mydriatic fundus photographs), representing a multiethnic cohort of patients with confirmed elevated intracranial pressure. Training was performed on 1052 photographs with mild/modera
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Table_1_Normative Data and Determinants of Macular, Disc, and Peripapillary Vascular Density in Healthy Myopic Children Using Optical Coherence Tomography Angiography.DOCX
Published on (4 days ago)
ObjectiveTo establish a normative database for the vascular density (VD) in macular, disc, and peripapillary regions in healthy myopic children and to evaluate associated ocular features with optical coherence tomography angiography (OCTA).MethodsThis was an observational, prospective and cross-sectional study. 776 Chinese healthy myopic children (375 boys and 401 girls) were enrolled, mean (±SD) age 9.84 ± 1.98 (range 6–16) years. En-face angiogram OCTA was performed on 6 mm × 6 mm retinal and
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Supplementary Material for: Myopic Retinal Changes Screening: Comparison of Sensitivity and Specificity among 15 Combinations of Ultrawide Field Scanning Laser Ophthalmoscopy Images
Published on (4 days ago)
Aim: The objective of the study was to investigate the evaluation indices (diagnostic test accuracy and agreement) of 15 combinations of ultrawide field scanning laser ophthalmoscopy (UWF SLO) images in myopic retinal changes (MRC) screening to determine the combination of imaging that yields the highest evaluation indices in screening MRC. Methods: This is a retrospective study of UWF SLO images obtained from myopes and were analyzed by 2 retinal specialists independently. Five field UWF SLO im
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DataSheet_1_Semi-Automated Live Tracking of Microglial Activation in CX3CR1GFP Mice During Experimental Autoimmune Encephalomyelitis by Confocal Scanning Laser Ophthalmoscopy.docx
Published on (4 days ago)
Confocal scanning laser ophthalmoscopy (cSLO) is a non-invasive technique for real-time imaging of the retina. We developed a step-by-step protocol for the semi-automatic evaluation of myeloid cells in cSLO images from CX3CR1GFP mice, expressing green fluorescent protein (GFP) under control of the endogenous CX3C chemokine receptor 1 locus. We identified cSLO parameters allowing us to distinguish animals with experimental autoimmune encephalomyelitis (EAE) from sham-treated/naïve animals. Especi
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Robust semi-automatic vessel tracing in the human retinal image by an instance segmentation neural network
Published on (4 days ago)
Vasculature morphology and hierarchy are essential for blood perfusion. Human retinal 20 circulation is an intricate vascular system emerging and remerging at the optic nerve head 21 (ONH). Tracing retinal vascular branching from ONH can allow detailed morphological 22 quantification, and yet remains a challenging task. We presented a robust semi-automatic 23 vessel tracing algorithm on human fundus images by an instance segmentation neural 24 network (InSegNN). InSegNN separates and labels i
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Data from: Insights in the diagnosis of a retinal arteriovenous malformation
Published on (4 days ago)
Objective: To describe a patient with vitreous hemorrhage due to peripheral retinal ischemia and neovascularization, who was diagnosed with an underlying retinal arteriovenous malformation. Methods: A 15-year old girl presented with sudden-onset painless visual loss in the right eye. She underwent a full ophthalmologic wo
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Data from: Plane wave Doppler determination of blood flow in retinopathy of prematurity
Published on (4 days ago)
Retinopathy of prematurity (ROP) is a disorder affecting low birthweight, preterm neonates. In the preterm eye, the retina is not fully developed and neovascularization may occur at the margin between the developed vascular retina and undeveloped avascular retina. Without timely treatment by laser or intravitreal anti-vascular endothelial growth factor (VEGF) therapy, this can lead to tractional retinal detachment and blindness. Visualization of the retina in regular examinations by indirect
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Asymmetric retinal direction tuning predicts optokinetic eye movements across stimulus conditions
Published on (4 days ago)
Across species, the optokinetic reflex (OKR) stabilizes vision during self-motion. OKR occurs when ON direction-selective retinal ganglion cells (oDSGCs) detect slow, global image motion on the retina. How oDSGC activity is integrated centrally to generate behavior remains unknown. Here, we discover mechanisms that contribute to motion encoding in vertically-tuned oDSGCs and leverage these findings to empirically define signal transformation between retinal output and vertical OKR behavior. W
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Data_Sheet_1_Persistent Dark Cones in Oligocone Trichromacy Revealed by Multimodal Adaptive Optics Ophthalmoscopy.docx
Published on (4 days ago)
Dark cone photoreceptors, defined as those with diminished or absent reflectivity when observed with adaptive optics (AO) ophthalmoscopy, are increasingly reported in retinal disorders. However, their structural and functional impact remain unclear. Here, we report a 3-year longitudinal study on a patient with oligocone trichromacy (OT) who presented with persistent, widespread dark cones within and near the macula. Diminished electroretinogram (ERG) cone but normal ERG rod responses together wi
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Data_Sheet_1_Retinal Thickness Changes Over Time in a Murine AD Model APPNL-F/NL-F.docx
Published on (4 days ago)
Background: Alzheimer's disease (AD) may present retinal changes before brain pathology, suggesting the retina as an accessible biomarker of AD. The present work is a diachronic study using spectral domain optical coherence tomography (SD-OCT) to determine the total retinal thickness and retinal nerve fiber layer (RNFL) thickness in an APPNL−F/NL−F mouse model of AD at 6, 9, 12, 15, 17, and 20 months old compared to wild type (WT) animals.Methods: Total retinal thickness and RNFL thickness were
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Extended and Montaged Horizontal OCT Data
Published on (4 days ago)
3 montaged gigh resolution OCT scans of the horizontal meridian, covering +/- 30 degrees eccentricity in the retina, and manual segmentations of the GCL and IPL.
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Data from: All-optical recording and stimulation of retinal neurons in vivo in retinal degeneration mice
Published on (4 days ago)
Here we demonstrate the application of a method that could accelerate the development of novel therapies by allowing direct and repeatable visualization of cellular function in the living eye, to study loss of vision in animal models of retinal disease, as well as evaluate the time course of retinal function following therapeutic intervention. We use high-resolution adaptive optics scanning light ophthalmoscopy to image fluorescence from the calcium sensor GCaMP6s. In mice with photoreceptor deg
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Data from: Quantitative analysis of fundus-image sequences reveals phase of spontaneous venous pulsations
Published on (4 days ago)
Purpose: Spontaneous venous pulsation correlates negatively with elevated intracranial pressure and papilledema, and it relates to glaucoma. Yet, its etiology remains unclear. A key element to elucidate its underlying mechanism is the time at which collapse occurs with respect to the heart cycle, but previous reports are contradictory. We assessed this question in healthy subjects using quantitative measurements of both vein diameters and artery lateral displacements; the latter being used as th
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Vertical OCT Data
Published on (4 days ago)
High resolution OCT scans of the vertical meridian in the retina of 50 healthy subjects, with manual segmentations of the GCL and IPL.
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Ultrastructural changes detected using swept-source optical coherence tomography in severe vitreopapillary traction: a case report
Published on (4 days ago)
ABSTRACT Vitreopapillary traction is an uncommon condition characterized by strong adhesion and the traction of the posterior hyaloid onto the optic disc and peripapillary retina, leading to optic disc elevation and visual loss. An 85-year-old man presented with a 6-month history of slow, progressive visual loss in the left eye along with optic disc edema. Swept-source optical coherence tomography B-scans revealed circumpapillary anterior-posterior persistent traction of dense vitreous strands o
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Ultrastructural changes detected using swept-source optical coherence tomography in severe vitreopapillary traction: a case report
Published on (4 days ago)
ABSTRACT Vitreopapillary traction is an uncommon condition characterized by strong adhesion and the traction of the posterior hyaloid onto the optic disc and peripapillary retina, leading to optic disc elevation and visual loss. An 85-year-old man presented with a 6-month history of slow, progressive visual loss in the left eye along with optic disc edema. Swept-source optical coherence tomography B-scans revealed circumpapillary anterior-posterior persistent traction of dense vitreous strands o
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Wide-field angiography for diagnosis and follow-up of Eales disease: a case series
Published on (4 days ago)
ABSTRACT Wide-field angiography enables assessing peripheral areas with better quality and gives greater deep focus, which improves the image periphery. Some studies have proposed the usefulness of these angiographic systems in inflammatory diseases of the retina. However, few studies have evaluated this technique in Eales disease. We present a case series in which 5 eyes of 3 patients with Eales disease were evaluated by using retinal fluorescein angiography with 30º, 50º, and 150º lenses in a
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Overview of the three ground truth data sets.
Published on (4 days ago)
Overview of the three ground truth data sets.
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Validation of automated artificial intelligence segmentation of optical coherence tomography images
Published on (4 days ago)
PurposeTo benchmark the human and machine performance of spectral-domain (SD) and swept-source (SS) optical coherence tomography (OCT) image segmentation, i.e., pixel-wise classification, for the compartments vitreous, retina, choroid, sclera.MethodsA convolutional neural network (CNN) was trained on OCT B-scan images annotated by a senior ground truth expert retina specialist to segment the posterior eye compartments. Independent benchmark data sets (30 SDOCT and 30 SSOCT) were manually segment
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Investigation of Thermal Effects of Photocoagulation on Retinal Tissue Using Fine-Motion-Sensitive Dynamic Optical Coherence Tomography
Published on (4 days ago)
To enable an objective evaluation of photocoagulation, we characterize thermal tissue changes induced by laser irradiation with different laser parameters using optical coherence tomography (OCT). Spectral-domain OCT with a newly developed image processing method was used to monitor the thermal changes of ex vivo porcine retina. A sequence of OCT B-scans was obtained at the same retinal position simultaneously with the photocoagulation. Cross-sectional tissue displacement maps with respect to an
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Influence of Clinical Factors and Magnification Correction on Normal Thickness Profiles of Macular Retinal Layers Using Optical Coherence Tomography
Published on (4 days ago)
PurposeTo identify the factors which significantly contribute to the thickness variabilities in macular retinal layers measured by optical coherence tomography with or without magnification correction of analytical areas in normal subjects.MethodsThe thickness of retinal layers {retinal nerve fiber layer (RNFL), ganglion cell layer plus inner plexiform layer (GCLIPL), RNFL plus GCLIPL (ganglion cell complex, GCC), total retina, total retina minus GCC (outer retina)} were measured by macular scan
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TOM500: A Multi-Organ Annotated Orbital MRI Dataset for Thyroid Eye Disease
Published on (4 days ago)
This study presents TOM500, a comprehensive multi-organ annotated orbital magnetic resonance imaging (MRI) dataset. It includes clinical data, T2-weighted MRI scans, and corresponding segmentations from 500 patients with thyroid eye disease (TED) during their initial visit. TED is a common autoimmune disorder with distinct orbital MRI features. Segmentations of nine orbital structures, including the optic nerve, orbital fat, lacrimal gland, eyeball, and five extraocular muscles (superior rectus
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Data_Sheet_1_No Alteration of Optical Coherence Tomography and Multifocal Visual Evoked Potentials in Eyes With Symptomatic Carotid Artery Disease.pdf
Published on (4 days ago)
Background: Symptomatic carotid artery disease (CAD) may cause modified blood supply to the retina possibly leading to retinal structure changes. Results of previous studies in asymptomatic CAD were heterogeneous in retinal layer changes measured by OCT. The objectives of this prospective, non-interventional study were to investigate if structural retinal changes occur in symptomatic CAD patients with macroangiopathic ischemic stroke or transient ischemic attack (TIA).Methods: We used spectral-d
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Wide-field angiography for diagnosis and follow-up of Eales disease: a case series
Published on (4 days ago)
ABSTRACT Wide-field angiography enables assessing peripheral areas with better quality and gives greater deep focus, which improves the image periphery. Some studies have proposed the usefulness of these angiographic systems in inflammatory diseases of the retina. However, few studies have evaluated this technique in Eales disease. We present a case series in which 5 eyes of 3 patients with Eales disease were evaluated by using retinal fluorescein angiography with 30º, 50º, and 150º lenses in a
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Live video rate volumetric OCT imaging of the retina with multi-MHz A-scan rates
Published on (4 days ago)
Surgical microscopes are vital tools for ophthalmic surgeons. The recent development of an integrated OCT system for the first time allows to look at tissue features below the surface. Hence, these systems can drastically improve the quality and reduce the risk of surgical interventions. However, current commercial OCT-enhanced ophthalmic surgical microscopes provide only one additional cross sectional view to the standard microscope image and feature a low update rate. To present volumetric dat
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Table_1_Estimation of Diabetic Retinal Microaneurysm Perfusion Parameters Based on Computational Fluid Dynamics Modeling of Adaptive Optics Scanning Laser Ophthalmoscopy.docx
Published on (4 days ago)
Diabetic retinopathy (DR) is a leading cause of vision loss worldwide. Microaneurysms (MAs), which are abnormal outpouchings of the retinal vessels, are early and hallmark lesions of DR. The presence and severity of MAs are utilized to determine overall DR severity. In addition, MAs can directly contribute to retinal neural pathology by leaking fluid into the surrounding retina, causing abnormal central retinal thickening and thereby frequently leading to vision loss. Vascular perfusion paramete
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All-optical recording and stimulation of retinal neurons <i>in vivo</i> in retinal degeneration mice
Published on (4 days ago)
Here we demonstrate the application of a method that could accelerate the development of novel therapies by allowing direct and repeatable visualization of cellular function in the living eye, to study loss of vision in animal models of retinal disease, as well as evaluate the time course of retinal function following therapeutic intervention. We use high-resolution adaptive optics scanning light ophthalmoscopy to image fluorescence from the calcium sensor GCaMP6s. In mice with photoreceptor deg
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Individual and temporal variability of the retina after chronic bilateral common carotid artery occlusion (BCCAO)
Published on (4 days ago)
Animal models of disease are an indispensable element in our quest to understand pathophysiology and develop novel therapies. Ex vivo studies have severe limitations, in particular their inability to study individual disease progression over time. In this respect, non-invasive in vivo technologies offer multiple advantages. We here used bilateral common carotid artery occlusion (BCCAO) in mice, an established model for ischemic retinopathy, and performed a multimodal in vivo and ex vivo follow-u
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Table_1_Intra- and Inter-scanner Reliability of Scaled Subprofile Model of Principal Component Analysis on ALFF in Resting-State fMRI Under Eyes Open and Closed Conditions.docx
Published on (4 days ago)
Scaled Subprofile Model of Principal Component Analysis (SSM-PCA) is a multivariate statistical method and has been widely used in Positron Emission Tomography (PET). Recently, SSM-PCA has been applied to discriminate patients with Parkinson's disease and healthy controls with Amplitude of Low Frequency Fluctuation (ALFF) from Resting-State Functional Magnetic Resonance Imaging (RS-fMRI). As RS-fMRI scans are more readily available than PET scans, it is important to investigate the intra- and in
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Enhanced Vitreous Imaging in Healthy Eyes Using Swept Source Optical Coherence Tomography
Published on (4 days ago)
PurposeTo describe enhanced vitreous imaging for visualization of anatomic features and microstructures within the posterior vitreous and vitreoretinal interface in healthy eyes using swept-source optical coherence tomography (SS-OCT). The study hypothesis was that long-wavelength, high-speed, volumetric SS-OCT with software registration motion correction and vitreous window display or high-dynamic-range (HDR) display improves detection sensitivity of posterior vitreous and vitreoretinal feature
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Data Sheet 1_Integration of peripheral blood-based systemic inflammatory indices and retinal imaging using interpretable machine learning for predicting anti-VEGF treatment response in macular edema s
Published on (4 days ago)
PurposeMacular edema secondary to retinal vein occlusion (RVO-ME) demonstrates considerable inter-individual variability in response to anti-VEGF therapy. While current research has predominantly focused on ocular imaging features and intraocular cytokine profiles, the role of systemic inflammation remains underexplored. This study proposes an interpretable machine learning (ML) framework that integrates peripheral blood-based systemic inflammatory indices with retinal imaging data to predict an
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Data Sheet 1_Relationship between lacrimal gland changes and corneal parameters in patients with primary Sjögren’s syndrome and non-Sjögren’s syndrome-related dry eye.docx
Published on (4 days ago)
BackgroundPrimary Sjögren’s syndrome(pSS) is characterized as an autoimmune disorder mostly involving exocrine glands and pSS related dry eye (SSDE) contributes to a severe subtype of dry eye disease (DED). Emerging imaging tools for ocular surface evaluation such as lacrimal gland ultrasonography (LGUS) and in vivo confocal microscopy (IVCM) remain underutilized in diagnosing the SSDE. This study aims to investigate LGUS-IVCM correlations to map structural-functional relationships in SSDE patie
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Table_1_Retinal nerve fiber layer in frontotemporal lobar degeneration and amyotrophic lateral sclerosis.DOCX
Published on (4 days ago)
PurposeTauopathy and transactive response DNA binding protein 43 (TDP-43) proteinopathy are associated with neurodegenerative diseases. These proteinopathies are difficult to detect in vivo. This study examined if spectral-domain optical coherence tomography (SD-OCT) can differentiate in vivo the difference in peripapillary retinal nerve fibre layer (pRNFL) thickness and macular retinal thickness between participants with presumed tauopathy (progressive supranuclear palsy) and those with presume
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Table_2_Retinal nerve fiber layer in frontotemporal lobar degeneration and amyotrophic lateral sclerosis.DOCX
Published on (4 days ago)
PurposeTauopathy and transactive response DNA binding protein 43 (TDP-43) proteinopathy are associated with neurodegenerative diseases. These proteinopathies are difficult to detect in vivo. This study examined if spectral-domain optical coherence tomography (SD-OCT) can differentiate in vivo the difference in peripapillary retinal nerve fibre layer (pRNFL) thickness and macular retinal thickness between participants with presumed tauopathy (progressive supranuclear palsy) and those with presume
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Table 1_Diffusion tensor imaging along the perivascular space may reveal potential pathological mechanisms underlying disease progression in primary open-angle glaucoma patients.docx
Published on (4 days ago)
PurposeThis study investigates glymphatic system dysfunction in primary open-angle glaucoma (POAG) patients and explores its potential role in the progressive decline of visual function associated with the disease.MethodsThis prospective study compared 47 primary open-angle glaucoma (POAG) patients and 50 healthy controls (HCs) using multimodal MRI, including DTI, T1/T2-weighted imaging, and resting-state fMRI. Group differences in brain morphometry, spontaneous activity, perivascular space (PVS
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Supplementary file 1_Intraocular hemorrhage in patients misdiagnosed with central retinal artery occlusion treated with thrombolysis.docx
Published on (4 days ago)
IntroductionThe diagnosis of acute central retinal artery occlusion (CRAO) is commonly delayed in emergency departments (ED) where ophthalmologists are rarely available for immediate consultation. Thrombolysis is sometimes given empirically for presumed CRAO without confirmation of the diagnosis with ocular funduscopic examination.MethodsWe describe one case of severe intraocular hemorrhage following intravenous thrombolysis for a retinal detachment misdiagnosed as a CRAO, and two cases of worse
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A Survey of Diagnostic and Management Practices in Retinal Vasculitis: International Uveitis Study Group (IUSG) Retinal Vasculitis Study (ReViSe)—Report 5
Published on (4 days ago)
Retinal vasculitis (RV) is a complex inflammatory disorder of retinal blood vessels with variability in diagnosis, classification, and management. Despite efforts to standardize definitions, discrepancies persist regarding clinical features, systemic associations, and treatment approaches. This study aimed to assess clinical practices among uveitis specialists to identify areas requiring consensus. A cross-sectional, semi-structured survey was conducted among members of the International Uveitis
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Data Sheet 1_Large language model-based multimodal system for detecting and grading ocular surface diseases from smartphone images.docx
Published on (4 days ago)
BackgroundThe development of medical artificial intelligence (AI) models is primarily driven by the need to address healthcare resource scarcity, particularly in underserved regions. Proposing an affordable, accessible, interpretable, and automated AI system for non-clinical settings is crucial to expanding access to quality healthcare.MethodsThis cross-sectional study developed the Multimodal Ocular Surface Assessment and Interpretation Copilot (MOSAIC) using three multimodal large language mod
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Demographic data.
Published on (4 days ago)
BackgroundIdiopathic hypertrophic pachymeningitis (HP) is a rare chronic inflammatory condition without an identifiable cause characterized by fibrous thickening of the dura mater, which can involve the extraocular muscles (EOM).ObjectiveTo evaluate volumetric changes of EOM in idiopathic HP patients compared with healthy controls (HC) and study the correlation with ocular motility disturbance.Materials and methodTwenty-two idiopathic HP patients diagnosed and underwent 3T MRI between 2017 to 20
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Table 1_Evaluating the performance of ChatGPT in patient consultation and image-based preliminary diagnosis in thyroid eye disease.docx
Published on (4 days ago)
BackgroundThe emergence of Large Language Model (LLM) chatbots, such as ChatGPT, has great promise for enhancing healthcare practice. Online consultation, accurate pre-diagnosis, and clinical efforts are of fundamental importance for the patient-oriented management system.ObjectiveThis cross-sectional study aims to evaluate the performance of ChatGPT in inquiries across ophthalmic domains and to focus on Thyroid Eye Disease (TED) consultation and image-based preliminary diagnosis in a non-Englis
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Distribution of participants by age group and gender.
Published on (4 days ago)
Distribution of participants by age group and gender.
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Data_Sheet_2_Optical Coherence Tomography in a Cohort of Genetically Defined Hereditary Spastic Paraplegia: A Brief Research Report.pdf
Published on (4 days ago)
Introduction:In-vivo objective documentation of pathological changes in neurodegenerative disease is a major aim to possibly improve our ability to monitor disease progression and response to treatment. Temporal thinning of the retinal nerve fiber layer (RNFL) thickness shown by spectral domain optical coherence tomography (SD-OCT) has been reported in association with the complex forms in hereditary spastic paraplegia (HSP). We performed an assessment of the RNFL thickness in a group of HSP pat
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Data_Sheet_1_Optical Coherence Tomography in a Cohort of Genetically Defined Hereditary Spastic Paraplegia: A Brief Research Report.pdf
Published on (4 days ago)
Introduction:In-vivo objective documentation of pathological changes in neurodegenerative disease is a major aim to possibly improve our ability to monitor disease progression and response to treatment. Temporal thinning of the retinal nerve fiber layer (RNFL) thickness shown by spectral domain optical coherence tomography (SD-OCT) has been reported in association with the complex forms in hereditary spastic paraplegia (HSP). We performed an assessment of the RNFL thickness in a group of HSP pat
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Mean vessel density (VD), standard deviation (SD) and difference of VD before and after application of 5% phenylephrine and 0.5% tropicamide in superficial vascular plexus (SVP), intermediate capillar
Published on (4 days ago)
Mean vessel density (VD), standard deviation (SD) and difference of VD before and after application of 5% phenylephrine and 0.5% tropicamide in superficial vascular plexus (SVP), intermediate capillary plexus (ICP), and deep capillary plexus (DCP) considering all 12 sectors.
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Area Under the curve (AUC) of different OCT measurements.
Published on (4 days ago)
Area Under the curve (AUC) of different OCT measurements.
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Data_Sheet_1_Combining transfer learning with retinal lesion features for accurate detection of diabetic retinopathy.docx
Published on (4 days ago)
Diabetic retinopathy (DR) is a late microvascular complication of Diabetes Mellitus (DM) that could lead to permanent blindness in patients, without early detection. Although adequate management of DM via regular eye examination can preserve vision in in 98% of the DR cases, DR screening and diagnoses based on clinical lesion features devised by expert clinicians; are costly, time-consuming and not sufficiently accurate. This raises the requirements for Artificial Intelligent (AI) systems which
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Table_2_The correlation between modifications to corneal topography and changes in retinal vascular density and retinal thickness in myopic children after undergoing orthokeratology.DOCX
Published on (4 days ago)
PurposeThis study aimed to investigate the relationship among changes in corneal topography, retinal vascular density, and retinal thickness in myopic children who underwent orthokeratology for 3 months.MethodThirty children with myopia wore orthokeratology lenses for 3 months. Using optical coherence tomography angiography (OCTA), the retina was imaged as 6 × 6 mm en-face images at baseline and 3 months after orthokeratology. Cornea data was acquired by topography and analyzed by customer MATLA
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Comparison between control eyes, early glaucoma and advanced glaucoma.
Published on (4 days ago)
Comparison between control eyes, early glaucoma and advanced glaucoma.
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Raw data used in the study.
Published on (4 days ago)
This table of data represents the original values of the patients' charachteristics unprocessed. (RAR)
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Pairwise differences and intraclass correlation coefficient (ICC) of FAZ measurements comparing the three different devices (R1, SCP, MD = mean difference, AD = absolute difference).
Published on (4 days ago)
Pairwise differences and intraclass correlation coefficient (ICC) of FAZ measurements comparing the three different devices (R1, SCP, MD = mean difference, AD = absolute difference).
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Pairwise comparison as paired t-test between the first and second (m1 vs. m2) and the first and third measurement (m1 vs. m3) and ICC values for the three different devices (R1, SCP).
Published on (4 days ago)
Pairwise comparison as paired t-test between the first and second (m1 vs. m2) and the first and third measurement (m1 vs. m3) and ICC values for the three different devices (R1, SCP).
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Interobserver (R1 vs. R2) intrasession reproducibility of foveal avascular zone area measurements (m1, m2, m3) of the superficial and deep OCT angiogram for the three different devices.
Published on (4 days ago)
Interobserver (R1 vs. R2) intrasession reproducibility of foveal avascular zone area measurements (m1, m2, m3) of the superficial and deep OCT angiogram for the three different devices.
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Area under the receiver operating characteristics curve (AUC) of the most relevant parameters on each layer.
Published on (4 days ago)
Area under the receiver operating characteristics curve (AUC) of the most relevant parameters on each layer.
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Mean and standard deviation of macular retinal nerve fiber layer thickness obtained with horizontal and vertical scans in the control group and early glaucoma patients, and comparison between groups.
Published on (4 days ago)
Mean and standard deviation of macular retinal nerve fiber layer thickness obtained with horizontal and vertical scans in the control group and early glaucoma patients, and comparison between groups.
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Areas under the curve and cutoff values for early diagnosis.
Published on (4 days ago)
Areas under the curve and cutoff values for early diagnosis.
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Inner plexiform layer analysis.
Published on (4 days ago)
Inner plexiform layer analysis.
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Ganglion cell layer analysis.
Published on (4 days ago)
Ganglion cell layer analysis.
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Macular retinal nerve fiber layer analysis.
Published on (4 days ago)
Macular retinal nerve fiber layer analysis.
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Analysis of inner and outer retinal layers using spectral domain optical coherence tomography automated segmentation software in ocular hypertensive and glaucoma patients
Published on (4 days ago)
ObjectiveTo analyse the morphological features and diagnostic ability of eight macular retinal layers using a new segmentation software Heidelberg's Spectralis Optical Coherence Tomography (SD-OCT) in healthy, ocular hypertensive and primary open angle glaucoma patients.MethodsSingle-center, cross-sectional, non-interventional study. 193 eyes from 193 consecutive patients (56 controls, 63 ocular hypertensives, 32 early primary open glaucoma patients and 42 moderate-advanced primary open glaucoma
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Evaluation of inner retinal layers as biomarkers in mild cognitive impairment to moderate Alzheimer’s disease
Published on (4 days ago)
Inner retina in Alzheimer's Disease (AD) may experience neuroinflammation resulting in atrophy. The objective of our study was to determine whether retinal GCIPL (ganglion cell-inner plexiform layer) or nerve fiber layer (NFL) thickness may serve as noninvasive biomarkers to diagnose AD. This cross-sectional case-control study enrolled 15 mild cognitive impairment (MCI) patients, 15 mild-moderate AD patients, and 18 cognitively normal adults. NFL and GCIPL thicknesses on optical coherence tomogr
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Distribution of diagnosis in eyes with and without peripapillary retinal splitting (schisis).
Published on (4 days ago)
Distribution of diagnosis in eyes with and without peripapillary retinal splitting (schisis).
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Clinical characteristics of the eleven eyes of seven patients with peripapillary retinal splitting (schisis).
Published on (4 days ago)
Clinical characteristics of the eleven eyes of seven patients with peripapillary retinal splitting (schisis).
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Supporting data file contains the information of the 990 glaucoma and glaucoma suspect eyes including the 11 eyes with schisis.
Published on (4 days ago)
(XLSX)
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Patient Characteristics.
Published on (4 days ago)
PurposeTo evaluate the efficacy of the smart eye camera (SEC), a portable smartphone-attachable camera, in assessing eyes following lamellar corneal transplantation.MethodsThis retrospective study included consecutive patients who underwent lamellar corneal transplantation between December 1st 2023 and August 31st 2024. Postoperative evaluations were performed using the SEC and a slit-lamp microscope. All images from the two devices were evaluated by two corneal specialists in a blinded fashion
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Segmented inner plexiform layer thickness as a potential biomarker to evaluate open-angle glaucoma: Dendritic degeneration of retinal ganglion cell
Published on (4 days ago)
PurposeTo evaluate the changes of retinal nerve fiber layer (RNFL), ganglion cell layer (GCL), inner plexiform layer (IPL), and ganglion cell-inner plexiform layer (GCIPL) thicknesses and compare structure-function relationships of 4 retinal layers using spectral-domain optical coherence tomography (SD-OCT) in macular region of glaucoma patients.MethodsIn cross-sectional study, a total of 85 eyes with pre-perimetric to advanced glaucoma and 26 normal controls were enrolled. The glaucomatous eyes
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Linear correlation analysis between macular thickness and age.
Published on (4 days ago)
Linear correlation analysis between macular thickness and age.
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S1 Data -
Published on (4 days ago)
(XLSX)
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Mean, standard deviation (SD), and comparison of retinal nerve fiber layer (RNFL) and macular thickness values obtained with the Cirrus High Definition optical coherence tomography (OCT) device in the
Published on (4 days ago)
Mean, standard deviation (SD), and comparison of retinal nerve fiber layer (RNFL) and macular thickness values obtained with the Cirrus High Definition optical coherence tomography (OCT) device in the right eye, between the group with and without atheroma plaques in the right carotid.
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Distribution of macular IPL values using Spectralis-SD-OCT in normal subjects.
Published on (4 days ago)
Distribution of macular IPL values using Spectralis-SD-OCT in normal subjects.
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Distribution of macular GCL values using Spectralis-SD-OCT in normal subjects.
Published on (4 days ago)
Distribution of macular GCL values using Spectralis-SD-OCT in normal subjects.
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Distribution of macular RNFL values using Spectralis-SD-OCT in normal subjects.
Published on (4 days ago)
Distribution of macular RNFL values using Spectralis-SD-OCT in normal subjects.
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Distribution of macular values using Spectralis-SD-OCT in normal subjects.
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Distribution of macular values using Spectralis-SD-OCT in normal subjects.
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Characteristics of the subjects by age group.
Published on (4 days ago)
Characteristics of the subjects by age group.
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Results of the macular inner layers thickness in healthy volunteers.
Published on (4 days ago)
(XLSX)
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Volumetric scanning protocols available in Spectralis SD-OCT instrument.
Published on (4 days ago)
Volumetric scanning protocols available in Spectralis SD-OCT instrument.
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Mean and standard error of the mean of retinal nerve fiber layer thicknesses obtained with the Cirrus and Spectralis optical coherence tomography devices in patients with biologic fibromyalgia (26 pat
Published on (4 days ago)
Mean and standard error of the mean of retinal nerve fiber layer thicknesses obtained with the Cirrus and Spectralis optical coherence tomography devices in patients with biologic fibromyalgia (26 patients), depressive fibromyalgia (34 patients), and atypical fibromyalgia (56 patients).
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Reliability of Intra-Retinal Layer Thickness Estimates
Published on (4 days ago)
PurposeMeasurement of intra-retinal layer thickness using optical coherence tomography (OCT) has become increasingly prominent in multiple sclerosis (MS) research. Nevertheless, the approaches used for determining the mean layer thicknesses vary greatly. Insufficient data exist on the reliability of different thickness estimates, which is crucial for their application in clinical studies. This study addresses this lack by evaluating the repeatability of different thickness estimates.MethodsStudi
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Real-Time Automatic Segmentation of Optical Coherence Tomography Volume Data of the Macular Region
Published on (4 days ago)
Optical coherence tomography (OCT) is a high speed, high resolution and non-invasive imaging modality that enables the capturing of the 3D structure of the retina. The fast and automatic analysis of 3D volume OCT data is crucial taking into account the increased amount of patient-specific 3D imaging data. In this work, we have developed an automatic algorithm, OCTRIMA 3D (OCT Retinal IMage Analysis 3D), that could segment OCT volume data in the macular region fast and accurately. The proposed me
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Assessment and <i>In Vivo</i> Scoring of Murine Experimental Autoimmune Uveoretinitis Using Optical Coherence Tomography
Published on (4 days ago)
Despite advances in clinical imaging and grading our understanding of retinal immune responses and their morphological correlates in experimental autoimmune uveoretinitis (EAU), has been hindered by the requirement for post-mortem histology. To date, monitoring changes occurring during EAU disease progression and evaluating the effect of therapeutic intervention in real time has not been possible. We wanted to establish whether optical coherence tomography (OCT) could detect intraretinal changes
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Previous studies of corneal epithelial remodeling after SMILE using OCT.
Published on (4 days ago)
Previous studies of corneal epithelial remodeling after SMILE using OCT.
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Analysis of changes in corneal epithelial thickness between two groups in 17 sectors during the 6-month follow-up period.
Published on (4 days ago)
Analysis of changes in corneal epithelial thickness between two groups in 17 sectors during the 6-month follow-up period.
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Demographic data.
Published on (4 days ago)
PurposeTo evaluate the changes of the corneal epithelial thickness (ET) profile induced by combined small incision lenticule extraction and accelerated corneal collagen crosslinking (SMILE-xtra) for myopia compared with the standard small incision lenticule extraction (SMILE).SettingNuri Eye Hospital, 61, Dunsan-ro, Seo-gu, Daejeon, 35233, Korea.DesignRetrospective cross-sectional study.MethodsThirty-one myopic eye undergoing SMILE-xtra and control group of 36 myopic eyes undergoing SMILE were r
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Prophylactic corneal cross-linking methods used during small lenticule extraction (SMILE) surgery in this study.
Published on (4 days ago)
Prophylactic corneal cross-linking methods used during small lenticule extraction (SMILE) surgery in this study.
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S1 Data -
Published on (4 days ago)
PurposeTo evaluate the changes of the corneal epithelial thickness (ET) profile induced by combined small incision lenticule extraction and accelerated corneal collagen crosslinking (SMILE-xtra) for myopia compared with the standard small incision lenticule extraction (SMILE).SettingNuri Eye Hospital, 61, Dunsan-ro, Seo-gu, Daejeon, 35233, Korea.DesignRetrospective cross-sectional study.MethodsThirty-one myopic eye undergoing SMILE-xtra and control group of 36 myopic eyes undergoing SMILE were r
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Subgroup analysis by CMT value of 400 μm.
Published on (4 days ago)
First and second mean values, intraclass correlation coefficient, coefficient of variation and test-retest standard deviation of vessel density in patients with RVO.
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Univariate and multivariate linear regression for the association between clinical and anatomical parameters and coefficient of variation of vessel density.
Published on (4 days ago)
Univariate and multivariate linear regression for the association between clinical and anatomical parameters and coefficient of variation of vessel density.
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First and second mean values, intraclass correlation coefficient, coefficient of variation and test-retest standard deviation of vessel density in patients with RVO.
Published on (4 days ago)
First and second mean values, intraclass correlation coefficient, coefficient of variation and test-retest standard deviation of vessel density in patients with RVO.
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The prevalence of identified scan errors and identifiable co-morbid macular pathology in the PROGRESSA population.
Published on (4 days ago)
The prevalence of identified scan errors and identifiable co-morbid macular pathology in the PROGRESSA population.
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Pooled AUROCs of RNFL and macular OCT parameters for moderate to severe glaucoma patients.
Published on (4 days ago)
Pooled AUROCs of RNFL and macular OCT parameters for moderate to severe glaucoma patients.
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A practical approach to functional optical coherence tomography shows abnormal retinal responses in Alzheimer’s disease
Published on (4 days ago)
Spectral-domain optical coherence tomography (SD-OCT) is an accessible clinical tool for measuring structural changes to the retina, and increasingly as a biomarker for brain-predominant neurodegenerative diseases like Alzheimer’s. Information about retinal function can also be extracted from OCT images, but is under-studied, with literature examples often employing challenging protocols or requiring specialized hardware. The first goal of this study was to verify that functional retinal imag
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Demographics and baseline characteristics of each group.
Published on (4 days ago)
Demographics and baseline characteristics of each group.
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Demographics and baseline characteristics of patients.
Published on (4 days ago)
Demographics and baseline characteristics of patients.
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S1 Data -
Published on (4 days ago)
(XLSX)
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Coefficients of repeatability of choroidal thickness measurements using swept source (SS) and spectral domain (SD) optical coherence tomography (OCT) in patients with subfoveal active lesions (21 eyes
Published on (4 days ago)
Coefficients of repeatability of choroidal thickness measurements using swept source (SS) and spectral domain (SD) optical coherence tomography (OCT) in patients with subfoveal active lesions (21 eyes).
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Overview of artifacts including their cause and definition.
Published on (4 days ago)
Overview of artifacts including their cause and definition.
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Absolute frequency and central thickness of macular edema by diagnosis.
Published on (4 days ago)
Absolute frequency and central thickness of macular edema by diagnosis.
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Data set for retinal measurements.
Published on (4 days ago)
(XLSX)
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A study of the vitreoretinal interface in patients with age-related macular degeneration
Published on (4 days ago)
ABSTRACT Purpose: To assess whether hyaloid adhesion is more prevalent in patients with age-related macular degeneration (AMD) than in control patients and to evaluate whether it is more prevalent in exudative AMD than in non-exudative AMD. Methods: This was a cross-sectional, controlled analytical study. Patients from the Ophthalmology Department of the Public Service Hospital of the State of São Paulo were included if they were diagnosed with AMD that was confirmed by fundus biomicroscopy an
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Mean, standard deviation (SD), and comparison of retinal nerve fiber layer (RNFL) and macular thickness values obtained with the Cirrus High Definition optical coherence tomography (OCT) device in the
Published on (4 days ago)
Mean, standard deviation (SD), and comparison of retinal nerve fiber layer (RNFL) and macular thickness values obtained with the Cirrus High Definition optical coherence tomography (OCT) device in the group with and without cardiovascular risk according to the Framingham criteria.
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Mean, standard deviation (SD), and comparison of retinal nerve fiber layer (RNFL) and macular thickness values obtained with the Cirrus High Definition optical coherence tomography (OCT) device in the
Published on (4 days ago)
Mean, standard deviation (SD), and comparison of retinal nerve fiber layer (RNFL) and macular thickness values obtained with the Cirrus High Definition optical coherence tomography (OCT) device in the left eye, between the group with and without atheroma plaques in the left carotid.
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Comparison of biomechanical parameters in high pressure (HPG) and normal pressure glaucoma (NPG) patients after group matching.
Published on (4 days ago)
Comparison of biomechanical parameters in high pressure (HPG) and normal pressure glaucoma (NPG) patients after group matching.
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Intraocular pressure (A), visual acuity (B), mean deviation (C) and pattern standard deviation (D) in the visual fields examination before bleb revision and at specific time points within the followin
Published on (4 days ago)
Results are presented as means with standard deviation. P values for the comparison between the study groups are also shown.
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Mean, standard deviation (SD), and comparison of retinal nerve fiber layer (RNFL) and macular thickness values obtained with the Cirrus High Definition optical coherence tomography (OCT) device betwee
Published on (4 days ago)
Mean, standard deviation (SD), and comparison of retinal nerve fiber layer (RNFL) and macular thickness values obtained with the Cirrus High Definition optical coherence tomography (OCT) device between the group without atheroma plaques and the group with at least one atheroma plaque.
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Mean, standard deviation (SD), and comparison of cardiovascular parameters and of retinal nerve fiber layer (RNFL) and macular thickness values obtained with the Cirrus High Definition optical coheren
Published on (4 days ago)
Significant differences are marked in bold. Abbreviations: LDL (low-density lipoprotein), HDL (high-density lipoprotein).
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Percentage and characteristics of segmentation errors identified using the ganglion cell algorithm analysis<sup>a</sup>.
Published on (4 days ago)
Percentage and characteristics of segmentation errors identified using the ganglion cell algorithm analysisa.
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Correlation of choroidal thickness with spherical equivalent and participant age.
Published on (4 days ago)
Correlation of choroidal thickness with spherical equivalent and participant age.
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Correlation of retinal thickness and volume with spherical equivalent and participant age.
Published on (4 days ago)
Correlation of retinal thickness and volume with spherical equivalent and participant age.
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Choroidal thickness measurements in male and female participants in the various refraction groups.
Published on (4 days ago)
Choroidal thickness measurements in male and female participants in the various refraction groups.
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Revision of encapsulated blebs after trabeculectomy: Long-term comparison of standard bleb needling and modified needling procedure combined with transconjunctival scleral flap sutures
Published on (4 days ago)
PurposeTo compare two surgical approaches for treating encapsulated blebs after trabeculectomy with mitomycin C, in terms of the development of intraocular pressure and progression of glaucoma in a long-term follow up: 1. bleb needling alone vs. 2. a combined approach of needling with additional transconjunctival scleral flap sutures, to prevent early ocular hypotony.MethodsForty-six patients with failing blebs after trabeculectomy with mitomycin C were enrolled in this study. Patients received
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Variability of HRT3 mean retinal nerve fiber layer thickness by retinal regions among HIV+ and HIV-seronegative patients.
Published on (4 days ago)
HRT = Heidelberg retina tomography, HIV+ = subjects who are human immunodeficiency virus (HIV) positive, HIV- = subjects who are HIV negative controls, CD4 = CD4 cell count, SD = standard deviation, RNFL = retinal nerve fiber layer, Sup = superior, Inf = inferior.*—statistically significantVariability of HRT3 mean retinal nerve fiber layer thickness by retinal regions among HIV+ and HIV-seronegative patients.
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Choroidal thickness measurements in the various refraction groups.
Published on (4 days ago)
Choroidal thickness measurements in the various refraction groups.
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Retinal thickness measurements in male and female participants of the various refraction groups.
Published on (4 days ago)
Retinal thickness measurements in male and female participants of the various refraction groups.
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Retinal thickness and volume measurements in the various refraction groups.
Published on (4 days ago)
Retinal thickness and volume measurements in the various refraction groups.
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Characteristics of the study participants.
Published on (4 days ago)
Characteristics of the study participants.
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Variability of HRT3 retinal nerve fiber layer cross sectional area by retinal regions among HIV+ and HIV-seronegative patients.
Published on (4 days ago)
HRT = Heidelberg retina tomography, HIV+ = subjects who are human immunodeficiency virus (HIV) positive, HIV- = subjects who are HIV negative controls, CD4 = CD4 cell count, SD = standard deviation, RNFL = retinal nerve fiber layer, Sup = superior, Inf = inferior.*—statistically significantVariability of HRT3 retinal nerve fiber layer cross sectional area by retinal regions among HIV+ and HIV-seronegative patients.
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Demographics of the study subjects.
Published on (4 days ago)
The data are expressed as the means ± SD.N: non-glaucomatous groupG: glaucomatous groupEG: early stage glaucoma group (MD <-5dB)AG: advanced stage glaucoma group (MD ≥-5dB)SE: spherical equivalentMD: mean deviationPSD: pattern standard deviation\* Difference between the normal group and all glaucoma cases† Difference between the normal group and the early glaucoma group‡ Difference between the normal group and the progressive/advanced glaucoma groupDemographics of the study subjects.
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Raw Data.
Published on (4 days ago)
The raw data of all parameters for the individual subjects. (XLS)
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Anterior lamina cribrosa depth, neural canal opening diameter, and choroidal thickness change during standardized Valsalva maneuver.
Published on (4 days ago)
Anterior lamina cribrosa depth, neural canal opening diameter, and choroidal thickness change during standardized Valsalva maneuver.
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Optic nerve head parameters change during standardized Valsalva maneuver.
Published on (4 days ago)
Optic nerve head parameters change during standardized Valsalva maneuver.
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The HRT II parameters in the non-glaucomatous and glaucomatous eyes.
Published on (4 days ago)
The data are expressed as the means ± SD.N: non-glaucomatous groupG: glaucomatous groupEG: early stage glaucoma group (MD<-5dB)AG: advanced stage glaucoma group (MD ≥-5dB)C/D area: cup-to-disc area ratioC/D linear: linear cup/disc ratioCD: cup depthCSM: cup shape measureRNFLT: mean RNFL thicknessRNFL CS: RNFL cross-sectional areaHVC: height variation contourRH: reference height\* Difference between the normal patients and all glaucoma cases† Difference between the normal and early glaucoma groups
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The sensitivity and specificity of the MRA (Moorfield’s Regression Analysis) for all subjects (n = 225).
Published on (4 days ago)
tmp: temporalnsl: nasalsup: superiorinf: inferiorThe sensitivity and specificity of the MRA (Moorfield’s Regression Analysis) for all subjects (n = 225).
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The sensitivity and specificity of the MRA (Moorfield’s Regression Analysis) for the non-glaucomatous group and the early stage glaucoma group (n = 200).
Published on (4 days ago)
tmp: temporalnsl: nasalsup: superiorinf: inferiorThe sensitivity and specificity of the MRA (Moorfield’s Regression Analysis) for the non-glaucomatous group and the early stage glaucoma group (n = 200).
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The sensitivity and specificity of the MRA (Moorfield’s Regression Analysis) for the non-glaucomatous group and the advanced stage glaucoma group (n = 159).
Published on (4 days ago)
tmp: temporalnsl: nasalsup: superiorinf: inferiorThe sensitivity and specificity of the MRA (Moorfield’s Regression Analysis) for the non-glaucomatous group and the advanced stage glaucoma group (n = 159).
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The results of the logistic regression analysis with a stepwise method, in which glaucoma was the outcome variable among all subjects.
Published on (4 days ago)
The results of the logistic regression analysis with a stepwise method, in which glaucoma was the outcome variable among all subjects.
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Demographics of the subjects.
Published on (4 days ago)
Demographics of the subjects.
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AUC for OCT parameters and arbitrary values of disease severity, according to the regression models.
Published on (4 days ago)
AUC for OCT parameters and arbitrary values of disease severity, according to the regression models.
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Results of the receiver operating characteristic regression for retinal nerve fiber layer and ganglion cell-inner plexiform layer parameters.
Published on (4 days ago)
Results of the receiver operating characteristic regression for retinal nerve fiber layer and ganglion cell-inner plexiform layer parameters.
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Demographic and ocular characteristics in eyes with glaucoma and unaffected control groups.
Published on (4 days ago)
Demographic and ocular characteristics in eyes with glaucoma and unaffected control groups.
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Comparison of detection rate of an abnormal color code using a GCA sector map between PA group and VF- matched NTG group.
Published on (4 days ago)
Comparison of detection rate of an abnormal color code using a GCA sector map between PA group and VF- matched NTG group.
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Comparison of detection rate of an abnormal color code using a GCA sector map in 46 patients with pituitary adenoma.
Published on (4 days ago)
Comparison of detection rate of an abnormal color code using a GCA sector map in 46 patients with pituitary adenoma.
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Comparison of the area under the receiver operating characteristic curves (AUC) between control and preperimetric PA group.
Published on (4 days ago)
Comparison of the area under the receiver operating characteristic curves (AUC) between control and preperimetric PA group.
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Total retinal volume and sub-RPE volume before and after SNL treatment within a 3mm-diameter and 6mm-diameter annulus centered on the macula.
Published on (4 days ago)
Total retinal volume and sub-RPE volume before and after SNL treatment within a 3mm-diameter and 6mm-diameter annulus centered on the macula.
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Subgroup analysis of eyes with BCVA ≥ 20/40.
Published on (4 days ago)
Subgroup analysis of eyes with BCVA ≥ 20/40.
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Mean difference ± standard deviation in thickness between baseline and post-treatment macular scans.
Published on (4 days ago)
Mean difference ± standard deviation in thickness between baseline and post-treatment macular scans.
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The results of the logistic regression analysis with the stepwise method, in which glaucoma was the outcome variable between the non-glaucomatous group and the early stage glaucoma group.
Published on (4 days ago)
The results of the logistic regression analysis with the stepwise method, in which glaucoma was the outcome variable between the non-glaucomatous group and the early stage glaucoma group.
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The results of the logistic regression analysis with the stepwise method, in which glaucoma was the outcome variable between the non-glaucomatous group and the advanced stage glaucoma group.
Published on (4 days ago)
The results of the logistic regression analysis with the stepwise method, in which glaucoma was the outcome variable between the non-glaucomatous group and the advanced stage glaucoma group.
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Longitudinal changes in the retinal microstructures of eyes with chiasmal compression
Published on (4 days ago)
Objective: To test the hypothesis that there was a temporal change in the retinal microstructure after decompression surgery for chiasmal compression, the 1-year longitudinal changes in the inner and outer retinal thickness after decompression surgery were analyzed using spectral-domain optical coherence tomography (SD-OCT) with linear mixed-effects models. Methods: SD-OCT was obtained
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Data from: Is retina affected in Huntington's disease? Is optical coherence tomography a good biomarker?
Published on (4 days ago)
Prospective cross-sectional measurement of peripapillary retinal nerve fiber layer thickness (RNFL) and total macular volume (TMV) measured by spectral domain optical coherence tomography (OCT) of retina, Pelli-Robson Contrast Sensitivity test, Farnsworth 15 Hue Color discrimination test, and Unified Huntington’s disease Rating Scale (UHDRS).
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Quantifying the influence of optical coherence tomography beam tilt in the normal adult mouse retina
Published on (4 days ago)
Parallel microstructures within the retina – like retinal nerve fiber layer (RNFL) axons – differentially reflect light depending on its angle. This effect has previously been observed with optical coherence tomography (OCT), but it is under-studied. Quantification of this effect might provide useful information about retinal microstructures, and therefore the broader health of the retina. Our goal was to quantify the influence OCT beam tilt on reflectivity of each layer of the normal adult m
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Data set used in the present investigation.
Published on (4 days ago)
(XLSX)
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Mean and standard deviation of vascular density.
Published on (4 days ago)
Average of the vascular density of the four macular quadrants. Best-corrected visual acuity and contrast sensitivity in control subjects. MS group with EDSS of less than 3 and MS group with EDSS of more than 3.
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Mean and standard deviation of vascular density.
Published on (4 days ago)
Average of the vascular density of the four macular quadrants. Best-corrected visual acuity and contrast sensitivity in MS group with past optic neuritis (MS+ON) and MS group without optic neuritis (MS-ON).
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Mean and standard deviation of vascular density.
Published on (4 days ago)
BCVA and contrast sensitivity in each group and significance in patients diagnosed with the disease less than 5 years earlier and in patients diagnosed with the disease more than 5 years earlier. Average of the vascular density of the four macular quadrants.
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Mean and standard deviation of vascular density.
Published on (4 days ago)
Average of the vascular density of the four macular quadrants. Best-corrected visual acuity and contrast sensitivity in each group, and significance.
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Multivariate regression analyses of prelaminar thickness.
Published on (4 days ago)
MD = mean deviation; OCT = Optical Coherence Tomography; RNFL = retinal nerve fiber layer; CDR = cup/disc ratio; HRT = Heidelberg Retinal Tomography.\* Statistically significant value.† Only variables with P < 0.1 in the univariate analysis were included in the multivariate model.‡ Multivariate analysis including intraocular pressure, visual field MD, and Cirrus OCT parameters with P < 0.1 in the univariate analysis.§ Multivariate analysis including intraocular pressure, visual field MD, and HRT
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Baseline Patient Characteristics.
Published on (4 days ago)
CON = compressive optic neuropathy*comparison between CON and glaucoma†comparison between CON and normal subjectsBaseline Patient Characteristics.
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S1 Data -
Published on (4 days ago)
(XLSX)
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Technical features of each of the OCT devices studied [27,180].
Published on (4 days ago)
Technical features of each of the OCT devices studied [27,180].
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Pooled AUROCs of RNFL and macular OCT parameters for myopic patients.
Published on (4 days ago)
Pooled AUROCs of RNFL and macular OCT parameters for myopic patients.
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Pooled AUROCs of RNFL and macular OCT parameters for mild glaucoma patients.
Published on (4 days ago)
Pooled AUROCs of RNFL and macular OCT parameters for mild glaucoma patients.
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Pooled AUROCs of RNFL and macular OCT parameters for pre-perimetric glaucoma patients.
Published on (4 days ago)
Pooled AUROCs of RNFL and macular OCT parameters for pre-perimetric glaucoma patients.
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Pooled AUROCs of RNFL and macular OCT parameters for perimetric glaucoma patients.
Published on (4 days ago)
Pooled AUROCs of RNFL and macular OCT parameters for perimetric glaucoma patients.
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Pooled AUROCs of RNFL and macular OCT parameters for all glaucoma patients.
Published on (4 days ago)
Pooled AUROCs of RNFL and macular OCT parameters for all glaucoma patients.
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Summarized study and patient characteristics.
Published on (4 days ago)
Summarized study and patient characteristics.
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Evaluation of retinal nerve fiber layer defect using wide-field en-face swept-source OCT images by applying the inner limiting membrane flattening
Published on (4 days ago)
PurposeThe assessment of retinal nerve fiber layer defects (RNFLDs) is a useful part of glaucoma care. Here, we obtained en-face images of retinal layers below the inner limiting membrane (ILM) with swept source-optical coherence tomography (SS-OCT), and measured RNFLD angle with new software.MethodsThis study included 105 eyes of 105 normal tension glaucoma (NTG) patients (age, 59.8 ± 13.2). Exclusion criteria were best-corrected visual acuity 28 mm, non-glaucoma ocular di
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Comparison of OCT and HRT parameters among CON, glaucoma, and normal subjects.
Published on (4 days ago)
CON = compressive optic neuropathy; OCT = optical coherence tomography; HRT = Heidelberg Retina Tomograph; cpRNFL = circumpapillary retinal nerve fiber layer; PLT = prelamina tissue thickness; BMO = Bruch's membrane opening; cpCT = circumpapillary choroidal thickness; BMO-anterior LC = distance between BMO and anterior surface of lamina cribrosa.*comparison between CON and glaucoma.†comparison between CON and normal subjects.Comparison of OCT and HRT parameters among CON, glaucoma, and
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Comparison of OCT and HRT parameters between eyes with CON with a glaucoma-like disc and eyes with glaucoma.
Published on (4 days ago)
CON = compressive optic neuropathy; OCT = optical coherence tomography; HRT = Heidelberg Retina Tomograph; BMO-anterior LC = distance between Bruch's membrane opening and anterior surface of lamina cribrosa.Comparison of OCT and HRT parameters between eyes with CON with a glaucoma-like disc and eyes with glaucoma.
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Table_1_The impact of corneal higher-order aberrations on dynamic visual acuity post cataract surgery.docx
Published on (4 days ago)
PurposeTo explore the influence of corneal higher-order aberrations (HOAs) on dynamic visual acuity (DVA) post cataract surgery.MethodsA total of 27 patients with 45 eyes following cataract surgery were included in this study. The postoperative monocular object-moving DVA at the velocity of 20, 40, and 80 degrees per second (dps) were examined at 1 month. The total corneal HOAs were measured with Scheimpflug-based corneal topography. The correlation between postoperative DVA and HOAs was analyze
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Demographic information of the participants.
Published on (4 days ago)
Demographic information of the participants.
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Raw data.
Published on (4 days ago)
(XLSX)
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Comparison of event analysis results in the overall group, the non-progressors, and the progressors.
Published on (4 days ago)
Comparison of event analysis results in the overall group, the non-progressors, and the progressors.
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Comparison of trend analysis results in non-progressors and progressors.
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Comparison of trend analysis results in non-progressors and progressors.
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Comparison of baseline OCT parameters at the time of NTG diagnosis in non-progressors and progressors.
Published on (4 days ago)
Comparison of baseline OCT parameters at the time of NTG diagnosis in non-progressors and progressors.
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Comparison of baseline demographic data at the time of NTG in non-progressors and progressors.
Published on (4 days ago)
Comparison of baseline demographic data at the time of NTG in non-progressors and progressors.
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Comparison of slope of progression in macular OCT parameters.
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Comparison of slope of progression in macular OCT parameters.
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Baseline macular retinal nerve fiber layer thickness (mRNFLT) and ganglion cell layer plus inner plexiform layer thickness (mGCIPLT) for the sector analysis.
Published on (4 days ago)
Baseline macular retinal nerve fiber layer thickness (mRNFLT) and ganglion cell layer plus inner plexiform layer thickness (mGCIPLT) for the sector analysis.
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Baseline demographic data at the time of normal-tension glaucoma (NTG) diagnosis.
Published on (4 days ago)
Baseline demographic data at the time of normal-tension glaucoma (NTG) diagnosis.
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OCT measurement for axonal tract-dependent macular sectors.
Published on (4 days ago)
F1 File contains OCT measurement of mRNFLT and mGCIPLT. (XLSX)
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Cutoff points for the peripapillary area vessel density, optic nerve head vessel density, papillary area vessel density, superior and inferior papillary area vessel density with the sensitivity values
Published on (4 days ago)
Cutoff points for the peripapillary area vessel density, optic nerve head vessel density, papillary area vessel density, superior and inferior papillary area vessel density with the sensitivity values at 95% specificity.
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Diagnostic accuracy determined by computing the AUROCs, best sensitivity-specificity balance, likelihood ratios, and sensitivity at the fixed specificities for the optic nerve head parameters of OCT a
Published on (4 days ago)
AUROC = area under the receiver operating characteristic curve; OCT = optical coherence tomography; HRT = Heidelberg Retina Tomography; CI = confidence interval; +LR = positive likelihood ratio; −LR = negative likelihood ratio; BMO-anterior LC = distance between Bruch's membrane opening and anterior surface of lamina cribrosa.Note: The cutoff points were calculated using the MedCalc software as the points with the best sensitivity-specificity balance. Sensitivities at fixed specificities
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File S1 - Comparison of Optic Disc Morphology of Optic Nerve Atrophy between Compressive Optic Neuropathy and Glaucomatous Optic Neuropathy
Published on (4 days ago)
Specific data of each group. Detail data of group1 (glaucoma), group2 (normal), group3 (compressive optic neuropathy), and group4 (compressive optic neuropathy accompanying with glaucomatous disc). (XLSX)
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Comparison of existing and proposed OAGF techniques through objective assessment.
Published on (4 days ago)
Comparison of existing and proposed OAGF techniques through objective assessment.
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Variables area under the curve comparison in study groups.
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Variables area under the curve comparison in study groups.
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Repeatability measurements with healthy eyes.
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Repeatability measurements with healthy eyes.
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Pairwise comparisons to distinguish the “suspects” from POAG and healthy controls.
Published on (4 days ago)
Pairwise comparisons to distinguish the “suspects” from POAG and healthy controls.
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Comparison of existing and proposed OAGF techniques through objective assessment.
Published on (4 days ago)
Comparison of existing and proposed OAGF techniques through objective assessment.
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Quantitative analysis of proposed and existing methods for DRIVE and STARE datasets.
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Quantitative analysis of proposed and existing methods for DRIVE and STARE datasets.
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Results of Diagnostic Testing.
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Results of Diagnostic Testing.
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Characteristics of the study groups.
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Characteristics of the study groups.
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Agreement of total retinal thickness between segmentation methods.
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Mean difference (bias; μm) and 95% limits of agreement (μm) for mean retinal thickness at session 1 produced by the Iowa Reference Algorithms and the commercial on-board equivalent.
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Inter-session repeatability of the on-board software.
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Coefficients of repeatability (μm; and percentage) of mean retinal thickness produced by the on-board analysis software of the commercial instruments at session 1 and session 2.
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Inter-session repeatability of the Iowa Reference Algorithms.
Published on (4 days ago)
Coefficients of repeatability (μm; and percentage) of mean retinal thickness produced by the Iowa Reference Algorithms at session 1 and session 2.
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Agreement of total retinal thickness between OCT devices.
Published on (4 days ago)
Mean difference (bias; μm) and 95% limits of agreement (μm) for mean retinal thickness at session 1 produced by the Iowa Reference Algorithms, using AEL-dependent scaling, for each pairing of OCT instruments.
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Total retinal thickness measurements from different segmentation methods.
Published on (4 days ago)
Thickness values (mean ± SD; μm) for the three ETDRS regions of images acquired at session 1.
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A Morphological Hessian Based Approach for Retinal Blood Vessels Segmentation and Denoising Using Region Based Otsu Thresholding
Published on (4 days ago)
Diabetic Retinopathy (DR) harm retinal blood vessels in the eye causing visual deficiency. The appearance and structure of blood vessels in retinal images play an essential part in the diagnoses of an eye sicknesses. We proposed a less computational unsupervised automated technique with promising results for detection of retinal vasculature by using morphological hessian based approach and region based Otsu thresholding. Contrast Limited Adaptive Histogram Equalization (CLAHE) and morphological
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Mean thickness of 10 intra-retinal layers.
Published on (4 days ago)
Thickness values (mean ± SD; μm) produced by segmentation of images at session 1 using the Iowa Reference Algorithms.
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Clinical background for the training group (Group 1) and validation group (Group 2), classified by 4 glaucoma specialists.
Published on (4 days ago)
Clinical background for the training group (Group 1) and validation group (Group 2), classified by 4 glaucoma specialists.
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Measurement parameters obtained with new SS-OCT software.
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Measurement parameters obtained with new SS-OCT software.
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List of SS-OCT measurement parameters and their reproducibility.
Published on (4 days ago)
List of SS-OCT measurement parameters and their reproducibility.
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Data from: Analysis of potential ischemic effect of intravitreal bevacizumab on unaffected retina in treatment-naïve macular edema due to branch retinal vein occlusion: a prospective, interventional c
Published on (4 days ago)
Background: To study potential ischemic effects of intravitreal Bevacizumab (IVB) on unaffected retina in treatment-naive eyes with macular edema secondary to branch retinal vein occlusion (BRVO) and contralateral eyes secondary to systemic absorption. Methods and Findings: Prospective, interventional series included 27 treatment-naive eyes with BRVO and macular edema. Exclusion criteria: Eyes with diabetic retinopathy, glaucoma, vasculitides, papilledema or systemic neurologic condition. Subjec
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Data from: Quantifying changes on optical coherence tomography in eyes receiving treatment for neovascular age-related macular degeneration
Published on (4 days ago)
Purpose Application of artificial intelligence (AI) to macular optical coherence tomography (OCT) scans to segment and quantify volumetric change of anatomical and pathological features during intravitreal treatment for neovascular age-related macular degeneration (AMD). Design Retrospective analysis of OCT images from the Eye Hospital AMD Database. Participants 2115 eyes from 1883 patients that started anti
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Linear regression analysis of cpRNFLT and disc type influence on rim area.
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Linear regression analysis of cpRNFLT and disc type influence on rim area.
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The correlation coefficient between rim area and cpRNFLT.
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The correlation coefficient between rim area and cpRNFLT.
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Clinical characteristics of 2 groups.
Published on (4 days ago)
Clinical characteristics of 2 groups.
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Clinical characteristics of patients by disc type.
Published on (4 days ago)
Clinical characteristics of patients by disc type.
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OCT-Based Quantification and Classification of Optic Disc Structure in Glaucoma Patients
Published on (4 days ago)
PurposeTo objectively classify the optic discs of open-angle glaucoma (OAG) patients into Nicolela's four disc types, i.e., focal ischemic (FI), myopic (MY), senile sclerotic (SS), and generalized enlargement (GE), with swept-source optical coherence tomography (SS-OCT).MethodsThis study enrolled 113 eyes of 113 OAG patients (mean age: 62.5 ± 12.6; Humphrey field analyzer-measured mean deviation: -9.4 ± 7.3 dB). Newly developed software was used to quantify a total of 20 optic disc parameters in
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Macular thickness measurements by ETDRS<sup>*</sup> region in 220 healthy eyes using Topcon SD-OCT system.
Published on (4 days ago)
* ETDRS – Early Treatment Diabetic Retinopathy Study [15].
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Macular thickness measurements in each ETDRS<sup>*</sup> region by gender in 220 healthy eyes using Topcon SD-OCT system.
Published on (4 days ago)
* ETDRS – Early Treatment Diabetic Retinopathy Study [15].
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Regression analysis of the association between corneal biomechanical parameters and functional (visual field) and structural (HRT) indices of glaucoma severity in normal pressure glaucoma (NPG) patien
Published on (4 days ago)
Regression analysis of the association between corneal biomechanical parameters and functional (visual field) and structural (HRT) indices of glaucoma severity in normal pressure glaucoma (NPG) patients using generalized estimating equations.
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Regression analysis of the association between corneal biomechanical parameters and functional (visual field) and structural (HRT) indices of glaucoma severity in high pressure glaucoma (HPG) patients
Published on (4 days ago)
Regression analysis of the association between corneal biomechanical parameters and functional (visual field) and structural (HRT) indices of glaucoma severity in high pressure glaucoma (HPG) patients using generalized estimating equations.
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Baseline data of high pressure (HPG) and normal pressure glaucoma (NPG) patients after group matching for intraocular pressure, central corneal thickness and age.
Published on (4 days ago)
Baseline data of high pressure (HPG) and normal pressure glaucoma (NPG) patients after group matching for intraocular pressure, central corneal thickness and age.
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The patients’ information, HFA, and HRT data.
Published on (4 days ago)
(XLS)
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Patient characteristics.
Published on (4 days ago)
POAG = primary open-angle glaucoma; NTG = normal-tension glaucoma.Data are presented as mean (standard deviation).Comparisons between the two groups were performed by Student’s t test for continuous variables and Chi-squared test for categorical data.Patient characteristics.
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OCT and HRT parameters of POAG and NTG groups.
Published on (4 days ago)
OCT = Optical Coherence Tomography; HRT = Heidelberg Retina Tomograph; RNFL = retinal nerve fiber layer; POAG = primary open-angle glaucoma; NTG = normal-tension glaucoma; CDR = cup/disc ratio.Data are presented as mean (standard deviation).Comparisons between two groups were performed by Student’s t test.OCT and HRT parameters of POAG and NTG groups.
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Mean prelaminar thickness of POAG and NTG groups.
Published on (4 days ago)
POAG = primary open-angle glaucoma; NTG = normal-tension glaucoma; SD = standard deviation; MD = mean deviation*Statistically significant value.Mean prelaminar thickness of POAG and NTG groups.
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Univariate regression analysis of prelaminar thickness.
Published on (4 days ago)
MD = mean deviation; OCT = Optical Coherence Tomography; RNFL = retinal nerve fiber layer; CDR = cup/disc ratio; HRT = Heidelberg Retinal Tomography.* Statistically significant value.Univariate regression analysis of prelaminar thickness.
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Comparison between AGF and OAGF in practical deployment terms.
Published on (4 days ago)
Comparison between AGF and OAGF in practical deployment terms.
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Performance analysis of different edge preserving filters.
Published on (4 days ago)
Performance analysis of different edge preserving filters.
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Summary of limitations in traditional vs. deep learning-based segmentation methods.
Published on (4 days ago)
Summary of limitations in traditional vs. deep learning-based segmentation methods.
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Performance comparison of cross-training.
Published on (4 days ago)
Performance comparison of cross-training.
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Data from: Optical coherence tomography is highly sensitive in detecting prior optic neuritis
Published on (4 days ago)
Objective: To explore sensitivity of optical coherence tomography (OCT) in detecting prior unilateral optic neuritis. Methods: Retrospective, observational clinical study of all patients who presented from 1/1/14 to 6/1/17 with unilateral optic neuritis and OCT available at least three months after the attack. We compared OCT retinal nerve fiber layer (RNFL) and ganglion cell inner plexiform layer (GCIPL) thicknesses between affected and unaffected contralateral eyes. We excluded patients with c
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Quantitative analysis of optical coherence tomography for neovascular age-related macular degeneration using deep learning
Published on (4 days ago)
Purpose: To apply a deep learning algorithm for automated, objective, and comprehensive quantification of optical coherence tomography (OCT) scans to a large real-world dataset of eyes with neovascular age-related macular degeneration (AMD), and make the raw segmentation output data openly available for further research. Design: Retrospective analysis of OCT images from the Moorfields Eye Hospital AMD Database. Participants:
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Parameter comparison of HDC-Net with other models.
Published on (4 days ago)
Parameter comparison of HDC-Net with other models.
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Results of HDC-Net and other methods on STARE dataset.
Published on (4 days ago)
Results of HDC-Net and other methods on STARE dataset.
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Results of HDC-Net and other methods on CHASE-DB1 dataset.
Published on (4 days ago)
Results of HDC-Net and other methods on CHASE-DB1 dataset.
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Results of HDC-Net and other methods on DRIVE dataset.
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Results of HDC-Net and other methods on DRIVE dataset.
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The ablation experiment based on STARE.
Published on (4 days ago)
The ablation experiment based on STARE.
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The ablation experiment based on CHASE-DB1.
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The ablation experiment based on CHASE-DB1.
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The ablation experiment based on DRIVE.
Published on (4 days ago)
The ablation experiment based on DRIVE.
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A comparison between the average processing time of different segmentation methods per image.
Published on (4 days ago)
A comparison between the average processing time of different segmentation methods per image.
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A comparison between the average accuracy of different segmentation methods with cross-training/testing.
Published on (4 days ago)
A comparison between the average accuracy of different segmentation methods with cross-training/testing.
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The segmentation performance of the proposed method in case of cross-training/testing.
Published on (4 days ago)
The segmentation performance of the proposed method in case of cross-training/testing.
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A comparison between different retinal vessel segmentation methods evaluated using CHASE_DB1 dataset.
Published on (4 days ago)
A comparison between different retinal vessel segmentation methods evaluated using CHASE_DB1 dataset.
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A comparison between different retinal vessel segmentation methods evaluated using DRIVE and SATRE datasets.
Published on (4 days ago)
A comparison between different retinal vessel segmentation methods evaluated using DRIVE and SATRE datasets.
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Different combinations of features and their effect on vessel segmentation accuracy.
Published on (4 days ago)
It should be noted that each feature combination contains all the features listed before that combination.
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Effects of varying GLCM distance on classifier accuracy computed on a 5×5 window.
Published on (4 days ago)
Effects of varying GLCM distance on classifier accuracy computed on a 5×5 window.
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Data_Sheet_2_Combining transfer learning with retinal lesion features for accurate detection of diabetic retinopathy.docx
Published on (4 days ago)
Diabetic retinopathy (DR) is a late microvascular complication of Diabetes Mellitus (DM) that could lead to permanent blindness in patients, without early detection. Although adequate management of DM via regular eye examination can preserve vision in in 98% of the DR cases, DR screening and diagnoses based on clinical lesion features devised by expert clinicians; are costly, time-consuming and not sufficiently accurate. This raises the requirements for Artificial Intelligent (AI) systems which
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Effects of varying the feature extraction window size on classifier accuracy.
Published on (4 days ago)
Effects of varying the feature extraction window size on classifier accuracy.
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Supervised retinal vessel segmentation from color fundus images based on matched filtering and AdaBoost classifier
Published on (4 days ago)
The structure and appearance of the blood vessel network in retinal fundus images is an essential part of diagnosing various problems associated with the eyes, such as diabetes and hypertension. In this paper, an automatic retinal vessel segmentation method utilizing matched filter techniques coupled with an AdaBoost classifier is proposed. The fundus image is enhanced using morphological operations, the contrast is increased using contrast limited adaptive histogram equalization (CLAHE) method
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Performance results by using classic machine learning and ensemble classification for multi-categorical 10 retinal diseases classification problem in the VGG-19 transfer learning setting.
Published on (4 days ago)
Performance results by using classic machine learning and ensemble classification for multi-categorical 10 retinal diseases classification problem in the VGG-19 transfer learning setting.
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Results from multi-categorical deep learning models for different approaches combining fundus images of normal, diabetic retinopathy and age-related macular degeneration.
Published on (4 days ago)
Results from multi-categorical deep learning models for different approaches combining fundus images of normal, diabetic retinopathy and age-related macular degeneration.
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Computation time comparison of various techniques.
Published on (4 days ago)
Computation time comparison of various techniques.
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Performance comparison of AUC with existing techniques.
Published on (4 days ago)
Performance comparison of AUC with existing techniques.
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Segmentation results comparison for normal versus abnormal cases of our proposed technique with different segmentation techniques.
Published on (4 days ago)
Segmentation results comparison for normal versus abnormal cases of our proposed technique with different segmentation techniques.
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Performance evaluation of different retinal vessel segmentation techniques.
Published on (4 days ago)
Performance evaluation of different retinal vessel segmentation techniques.
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Performance evaluation of different thresholding techniques with proposed Otsu method.
Published on (4 days ago)
Performance evaluation of different thresholding techniques with proposed Otsu method.
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Accuracy (Acc), Sensitivity (Sn) and Specificity (Sp) results of proposed method for 20 retinal images of the DRIVE and the STARE datasets.
Published on (4 days ago)
Accuracy (Acc), Sensitivity (Sn) and Specificity (Sp) results of proposed method for 20 retinal images of the DRIVE and the STARE datasets.
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Photoreceptor loss does not recruit neutrophils despite strong microglial activation
Published on (4 days ago)
In response to central nervous system (CNS) injury, tissue resident immune cells such as microglia and circulating systemic neutrophils are often first responders. The degree to which these cells interact in response to CNS damage is poorly understood, and even less so, in the neural retina which poses a challenge for high resolution imaging in vivo. In this study, we deploy fluorescence adaptive optics scanning light ophthalmoscopy (AOSLO) to study microglia and neutrophils in mice. We simul
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Performance of multiple vessel segmentation methods using the DRIVE dataset.
Published on (4 days ago)
Performance of multiple vessel segmentation methods using the DRIVE dataset.
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Performance of multiple vessel segmentation methods using the STARE dataset (i.e., the first manually segmented dataset).
Published on (4 days ago)
Performance of multiple vessel segmentation methods using the STARE dataset (i.e., the first manually segmented dataset).
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Performance of vessel segmentation methods using STARE dataset (i.e., the second manually segmented dataset as the “gold standard.”).
Published on (4 days ago)
Performance of vessel segmentation methods using STARE dataset (i.e., the second manually segmented dataset as the “gold standard.”).
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A New Approach to Segment Both Main and Peripheral Retinal Vessels Based on Gray-Voting and Gaussian Mixture Model
Published on (4 days ago)
Vessel segmentation in retinal fundus images is a preliminary step to clinical diagnosis for some systemic diseases and some eye diseases. The performances of existing methods for segmenting small vessels which are usually of more importance than the main vessels in a clinical diagnosis are not satisfactory in clinical use. In this paper, we present a method for both main and peripheral vessel segmentation. A local gray-level change enhancement algorithm called gray-voting is used to enhance the
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IDRiD-based state-of-the-art comparison.
Published on (4 days ago)
Diabetic retinopathy (DR) is a prominent reason of blindness globally, which is a diagnostically challenging disease owing to the intricate process of its development and the human eye’s complexity, which consists of nearly forty connected components like the retina, iris, optic nerve, and so on. This study proposes a novel approach to the identification of DR employing methods such as synthetic data generation, K- Means Clustering-Based Binary Grey Wolf Optimizer (KCBGWO), and Fully Convolution
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Different classifiers performance evaluation using OIDR dataset.
Published on (4 days ago)
Different classifiers performance evaluation using OIDR dataset.
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Different classifiers Performance evaluation using IDRiD dataset.
Published on (4 days ago)
Different classifiers Performance evaluation using IDRiD dataset.
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Comparison of state-of-the-art studies in diabetic retinopathy detection.
Published on (4 days ago)
Comparison of state-of-the-art studies in diabetic retinopathy detection.
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Results of DMENet v/s tri-class classification.
Published on (4 days ago)
Results of DMENet v/s tri-class classification.
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Results of optimization methods.
Published on (4 days ago)
Results of optimization methods.
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Comparitive study of DMENet’s performance with recent solutions for DME screening using IDRiD dataset.
Published on (4 days ago)
Comparitive study of DMENet’s performance with recent solutions for DME screening using IDRiD dataset.
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Comparitive study of DMENet’s performance with recent solutions for DME screening using MESSIDOR dataset.
Published on (4 days ago)
Comparitive study of DMENet’s performance with recent solutions for DME screening using MESSIDOR dataset.
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Table1_Screening of sensitive in vivo characteristics for early keratoconus diagnosis: a multicenter study.DOCX
Published on (4 days ago)
Purpose: To analyze and compare sensitive in vivo characteristics for screening early keratoconus.Methods: This multicenter, case-control study included 712 eyes, after matching for age and biomechanically corrected intraocular pressure, from three clinics in different cities. The keratoconus (n = 288), early keratoconus (n = 91), and normal cornea (n = 333) groups included eyes diagnosed with bilateral keratoconus, fellow eyes with relatively normal topography with unilateral keratoconus, and n
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Comparitive study of HE-CNN ensemble.
Published on (4 days ago)
Comparitive study of HE-CNN ensemble.
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Performance of Gamma and Delta Ensembles.
Published on (4 days ago)
Performance of Gamma and Delta Ensembles.
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CNN structures.
Published on (4 days ago)
CNN structures.
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Description of DME severity grading.
Published on (4 days ago)
Description of DME severity grading.
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Performance comparison with state-of-the-art diabetic retinopathy classification methods on the APTOS dataset.
Published on (4 days ago)
Performance comparison with state-of-the-art diabetic retinopathy classification methods on the APTOS dataset.
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APTOS 2019 Kaggle dataset classes description.
Published on (4 days ago)
APTOS 2019 Kaggle dataset classes description.
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Data Sheet 1_Development and validation of the VAE-NT index: a novel biomechanical parameter for distinguishing subclinical corneal abnormalities.zip
Published on (4 days ago)
PurposeThe aim of this study is to develop an index for distinguishing between very asymmetric ectasia with normal topography (VAE-NT) eyes and normal eyes, with good performance in validity, reliability, and predictive values.MethodsIn the training dataset, this single-center retrospective study involved 102 healthy eyes and 97 VAE-NT eyes. After propensity score matching (PSM), data from 53 healthy eyes and 53 VAE-NT eyes, including demographic and Corvis ST examination results, were collected
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Data_Sheet_1_Topography-guided photorefractive keratectomy combined with accelerated corneal collagen cross-linking versus cross-linking alone for progressive keratoconus: a long-term prospective coho
Published on (4 days ago)
PurposeTo comprehensively compare the long-term outcome of the combined topography guided photorefractive keratectomy (TG-PRK) with accelerated corneal cross-linking (ACXL) and ACXL alone in eyes with progressive keratoconus. The analysis focused on the changes in the detailed corneal aberrometric values.MethodsThis single-center, prospective cohort study included 28 patients (30 eyes) of the TG-PRK plus ACXL group and 14 patients (15 eyes) of the ACXL alone group. The mean duration of the follo
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Table_1_The correlation between modifications to corneal topography and changes in retinal vascular density and retinal thickness in myopic children after undergoing orthokeratology.DOCX
Published on (4 days ago)
PurposeThis study aimed to investigate the relationship among changes in corneal topography, retinal vascular density, and retinal thickness in myopic children who underwent orthokeratology for 3 months.MethodThirty children with myopia wore orthokeratology lenses for 3 months. Using optical coherence tomography angiography (OCTA), the retina was imaged as 6 × 6 mm en-face images at baseline and 3 months after orthokeratology. Cornea data was acquired by topography and analyzed by customer MATLA
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Evaluation of unilateral corneal collagen cross-linking on fellow untreated eyes of patients with keratoconus
Published on (4 days ago)
ABSTRACT Purpose: This study aimed to examine the effects of unilateral corneal collagen cross-linking treatment on visual acuity and the topographic findings of the fellow untreated eye of patients who had bilateral progressive keratoconus. Methods: Patients with progressive keratoconus who underwent cross-linking treatment were screened retrospectively. A total of 188 untreated eyes of 188 patients whose eyes were treated unilaterally with either standard or accelerated cross-linking and ref
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Data_Sheet_1_Long-term changes in corneal densitometry and associated factors following small incision lenticule extraction for moderate and high myopia.XLSX
Published on (4 days ago)
PurposeTo investigate long-term trends in corneal densitometry and associated influencing factors following small incision lenticule extraction (SMILE).MethodsA comparative study was performed among 72 eyes of 38 patients undergoing SMILE. Eyes were divided into moderate myopia [mean spherical equivalent (SE),−4.22 ± 0.68D] and high myopia (mean SE,−7.63 ± 1.09 D) groups. Visual acuity, manifest refraction, corneal topography and corneal densitometry (CD) were evaluated preoperatively and 3 year
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Summary statistics for age, IOP, OPA, K<sub>max</sub>, thinnest pachymetry, CCT, CAD, and CSI in 20 normal subjects (40 eyes) and 20 keratoconus patients (35 eyes).
Published on (4 days ago)
Summary statistics for age, IOP, OPA, Kmax, thinnest pachymetry, CCT, CAD, and CSI in 20 normal subjects (40 eyes) and 20 keratoconus patients (35 eyes).
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S1 Data -
Published on (4 days ago)
(XLSX)
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Evaluation of corneal tomography in children and adolescents without ocular or systemic allergy
Published on (4 days ago)
ABSTRACT Purpose: To determine normal corneal tomographic parameters in children and adolescents without corneal disease or atopy diagnosis. Methods: This descriptive cross-sectional study evaluated patients aged 8-16 years who underwent a complete slit-lamp biomicroscopic examination and tomographic corneal evaluation by a dual Scheimpflug analyzer, excluding those with ocular disease (including allergic conjunctivitis) or a positive prick test for systemic atopies. Results: A total of 170 p
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Changes in keratoconus progression indices of severe and moderate keratoconus based on the Collaborative Longitudinal Evaluation of Keratoconus study group’s criteria before and after the use of a rig
Published on (4 days ago)
Changes in keratoconus progression indices of severe and moderate keratoconus based on the Collaborative Longitudinal Evaluation of Keratoconus study group’s criteria before and after the use of a rigid gas-permeable contact lens.
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Changes in keratoconus progression indices of severe and moderate keratoconus based on the Amsler–Krumeich classification before and after the use of a rigid gas-permeable contact lens.
Published on (4 days ago)
Changes in keratoconus progression indices of severe and moderate keratoconus based on the Amsler–Krumeich classification before and after the use of a rigid gas-permeable contact lens.
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Changes in keratoconus progression indices of the anterior and posterior corneal surface before and after the use of a rigid gas-permeable contact lens.
Published on (4 days ago)
Changes in keratoconus progression indices of the anterior and posterior corneal surface before and after the use of a rigid gas-permeable contact lens.
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Changes in corneal anterior and posterior surface indices evaluated with Fourier harmonic analysis before and after the use of a rigid gas-permeable contact lens.
Published on (4 days ago)
Changes in corneal anterior and posterior surface indices evaluated with Fourier harmonic analysis before and after the use of a rigid gas-permeable contact lens.
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Changes in keratoconus progression indices before and after the use of a rigid gas-permeable contact lens.
Published on (4 days ago)
Changes in keratoconus progression indices before and after the use of a rigid gas-permeable contact lens.
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Photopic flicker optoretinography captures the light-driven length modulation of photoreceptors during phototransduction
Published on (4 days ago)
In this study, we used an inhibitor of phosphodiesterase 6 (PDE6) to examine the impact of changes in the conformation of the PDE6 protein on the light-induced process responsible for altering the length of the outer segments of photoreceptor cells in both human and rodent eyes. We employed a imaging method called spatiotemporal optical coherence tomography, which ensures high contrast and phase stability within the strongly scattering photoreceptor– Retinal Pigment Epithelium complex. Using
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S1 Dataset -
Published on (4 days ago)
(XLSX)
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Equivalent keratometer reading tool for biometric calculation in asymmetric corneas: case series
Published on (4 days ago)
ABSTRACT The accuracy of the intraocular lens calculation is not perfect, and postoperative refractive errors are common, especially in patients who have undergone previous refractive surgery or in presence of asymmetric corneas. Corneal power after refractive surgery can be more accurately measured using the total optical power map in the 4-mm central zone, by means of Orbscan II or equivalent keratometric reading map available on pentacam, with central measurements of 1.0, 2.0, 3.0 and 4.5 mm.
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Characterization of subclinical ectasia with integrated corneal tomography and biomechanics assessments
Published on (4 days ago)
ABSTRACT The article aims to prospectively describe different cases of highly asymmetric ectasia (very asymmetric ectasia, VAE) to differentiate subclinical or "frustrated" forms of keratoconus (forme fruste keratoconus - FFKC) from cases of unilateral ectatic disease. Case 1 is a 39-year-old patient with unilateral ectasia treated with an intrastromal ring implant. The contralateral eye was normal due to multimodal propaedeutics, stable for more than 3 years, with a TBI of 0.02. The patient adm
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Repeatability and reproducibility of the galilei G6 and its agreement with the pentacam® AXL in optical biometry and corneal tomography
Published on (4 days ago)
To assess the repeatability and reproducibility of corneal measurements performed by the Galilei G6 and determine its agreement with the Pentacam® AXL. 105 eyes underwent examination by both devices, measuring nine parameters. Paired t-tests, Deming Regression, and Bland-Altman plots were used to determine agreement. Analysis of Variance was used to determine repeatability and reproducibility. Measurements showed no clinically significant differences between the two devices. On average, the Gali
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DataSheet1_Prognostic Nomograms Predicting Risk of Keratoconus in Very Asymmetric Ectasia: Combined Corneal Tomographic and Biomechanical Assessments.DOCX
Published on (4 days ago)
Purpose: The aim of the study was to develop and validate a prognostic nomogram for subclinical keratoconus diagnosis using corneal tomographic and biomechanical integration assessments.Design: This is a retrospective case–control study.Methods:Setting: The study was carried out in a hospital setting. Patients: The study included patients with very asymmetric ectasia (VAE) and normal controls. Patients with VAE had defined clinical ectasia in one eye and normal topography (VAE-NT) in the fellow
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Supplementary Material for: To Amputate or Not to Amputate: Management of Iatrogenic LASIK Flap Dehiscence and Epithelial Ingrowth with Overlying Pseudopterygium
Published on (4 days ago)
A 73-year-old male with a history of myopic laser-assisted in situ keratomileusis (LASIK) 20 years earlier presented with a late LASIK flap dehiscence, epithelial ingrowth, conjunctivalization, and the development of a pseudopterygium in the right eye. The findings were consistent with surgical trauma, likely occurring after corneal epithelial debridement to improve visualization during pars plana vitrectomy for retinal detachment repair 3 months earlier. The patient underwent epithelial ingrowt
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Shift in the type of astigmatism postoperatively in the acquired ptosis (AP) and contact lens-related ptosis (CLP) groups.
Published on (4 days ago)
Shift in the type of astigmatism postoperatively in the acquired ptosis (AP) and contact lens-related ptosis (CLP) groups.
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Demographic data of the age-related ptosis (AP) and contact lens-related ptosis (CLP) groups.
Published on (4 days ago)
Demographic data of the age-related ptosis (AP) and contact lens-related ptosis (CLP) groups.
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A theoretical model for graft punch size calculations to prevent Descemet’s membrane folds following deep anterior lamellar keratoplasty
Published on (4 days ago)
ABSTRACT Purpose: The length of Descemet’s membrane and donor graft sizes in deep anterior lamellar keratoplasty do not match in very steep corneas, which can lead to Descemet’s membrane folds. The aim of this study is to establish a theoretical model for graft size calculations for deep anterior lamellar keratoplasty and evaluate its efficacy for preventing Descemet’s membrane folds. Methods: We calculated the arc diameter of the recipient bed by using the cosine formula and developed a table
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Interrater Agreement: Graft Detachment.
Published on (4 days ago)
PurposeTo evaluate the efficacy of the smart eye camera (SEC), a portable smartphone-attachable camera, in assessing eyes following lamellar corneal transplantation.MethodsThis retrospective study included consecutive patients who underwent lamellar corneal transplantation between December 1st 2023 and August 31st 2024. Postoperative evaluations were performed using the SEC and a slit-lamp microscope. All images from the two devices were evaluated by two corneal specialists in a blinded fashion
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Interrater Agreement: Pupillary Block.■.
Published on (4 days ago)
PurposeTo evaluate the efficacy of the smart eye camera (SEC), a portable smartphone-attachable camera, in assessing eyes following lamellar corneal transplantation.MethodsThis retrospective study included consecutive patients who underwent lamellar corneal transplantation between December 1st 2023 and August 31st 2024. Postoperative evaluations were performed using the SEC and a slit-lamp microscope. All images from the two devices were evaluated by two corneal specialists in a blinded fashion
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Supplementary Material for: The specificity rates of Clarus 500™ ultra-wide-field retinal imaging for detecting peripheral retinal lesions in medium-to-high myopia eyes
Published on (4 days ago)
Background: To investigate the specificity of Clarus 500™, an ultra-wide-field (UWF) fundus camera, for detecting peripheral retinal lesions in myopic eyes. Methods: This diagnostic test included 436 eyes from 221 patients with myopia before refractive surgery. The mean age was 28.9 ± 6.0 years (18 to 49 years), with the average spherical equivalent refraction being -8.33 ± 2.81 diopters (D) (-20.63 D to -0.50 D). Images were captured using Clarus 500™ from the posterior pole and four UWF direct
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Table_2_Development and evaluation of multimodal AI for diagnosis and triage of ophthalmic diseases using ChatGPT and anterior segment images: protocol for a two-stage cross-sectional study.DOCX
Published on (4 days ago)
IntroductionArtificial intelligence (AI) technology has made rapid progress for disease diagnosis and triage. In the field of ophthalmic diseases, image-based diagnosis has achieved high accuracy but still encounters limitations due to the lack of medical history. The emergence of ChatGPT enables human-computer interaction, allowing for the development of a multimodal AI system that integrates interactive text and image information.ObjectiveTo develop a multimodal AI system using ChatGPT and ant
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Table_3_Development and evaluation of multimodal AI for diagnosis and triage of ophthalmic diseases using ChatGPT and anterior segment images: protocol for a two-stage cross-sectional study.DOC
Published on (4 days ago)
IntroductionArtificial intelligence (AI) technology has made rapid progress for disease diagnosis and triage. In the field of ophthalmic diseases, image-based diagnosis has achieved high accuracy but still encounters limitations due to the lack of medical history. The emergence of ChatGPT enables human-computer interaction, allowing for the development of a multimodal AI system that integrates interactive text and image information.ObjectiveTo develop a multimodal AI system using ChatGPT and ant
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Table_1_Development and evaluation of multimodal AI for diagnosis and triage of ophthalmic diseases using ChatGPT and anterior segment images: protocol for a two-stage cross-sectional study.DOCX
Published on (4 days ago)
IntroductionArtificial intelligence (AI) technology has made rapid progress for disease diagnosis and triage. In the field of ophthalmic diseases, image-based diagnosis has achieved high accuracy but still encounters limitations due to the lack of medical history. The emergence of ChatGPT enables human-computer interaction, allowing for the development of a multimodal AI system that integrates interactive text and image information.ObjectiveTo develop a multimodal AI system using ChatGPT and ant
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Repeatability and Reproducibility of Slit Lamp, Optical Coherence Tomography, and Scheimpflug Measurements of Corneal Scars
Published on (4 days ago)
Purpose: To determine the repeatability and reproducibility of anterior segment optical coherence tomography (AS-OCT) and Scheimpflug photography for several measurements of corneal scars, including scar size, scar depth, and corneal thickness. Methods: A series of patients treated for fungal keratitis at a tertiary eye care center in South India were recalled two years after successful treatment. Eyes with corneal scars had a slit lamp examination performed by two ophthalmologists masked to the
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Comparison of SVM and softmax classifier with FC7 high-level features extracted by the CNN.
Published on (4 days ago)
Comparison of SVM and softmax classifier with FC7 high-level features extracted by the CNN.
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Quantitative evaluation for pediatric cataract classification and grading results with different CAD models.
Published on (4 days ago)
Quantitative evaluation for pediatric cataract classification and grading results with different CAD models.
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Specifications of the fish scale-derived corneal patches used in this study.
Published on (4 days ago)
Specifications of the fish scale-derived corneal patches used in this study.
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Schematic table of average score ± SD of operated mini-pigs.
Published on (4 days ago)
Gottingen minipigs patched by type B BioCornea were followed 4 days after surgeries. The average scores of several standard parameters were documented.
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Use of Fish Scale-Derived BioCornea to Seal Full-Thickness Corneal Perforations in Pig Models
Published on (4 days ago)
The aim of this study was to test the use of BioCornea, a fish scale-derived collagen matrix for sealing full-thickness corneal perforations in mini-pigs.Two series of experiments were carried out in 8 Lan-Yu and 3 Göttingen mini-pigs, respectively. A 2mm central full thickness corneal perforation was made with surgical scissors and 2mm trephines. The perforations were sealed immediately by suturing BioCornea to the wounded cornea. The conditions of each patched cornea were followed-up daily for
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In Vivo 3D Meibography of the Human Eyelid Using Real Time Imaging Fourier-Domain OCT
Published on (4 days ago)
Recently, we reported obtaining tomograms of meibomian glands from healthy volunteers using commercial anterior segment optical coherence tomography (AS-OCT), which is widely employed in clinics for examination of the anterior segment. However, we could not create 3D images of the meibomian glands, because the commercial OCT does not have a 3D reconstruction function. In this study we report the creation of 3D images of the meibomian glands by reconstructing the tomograms of these glands using h
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<b>Joint infrared pupil images and near-corneal-plane spectral light exposure data under natural conditions across the adult lifespan </b><b>– Dataset.</b>
Published on (4 days ago)
Detailed information on this dataset is provided in the corresponding data descriptor article. An excerpt from the "Data Records" section of that article is provided below. The dataset is licensed under CC BY 4.0.The SpectroSense Dataset is organised in a structured folder system. Data were collected from 83 participants (first: SP001; last: SP113), with data from each participant stored in individual folders. In total, the dataset contains 29,664 recorded spectral irradiance and eye image pairs
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S3 Dataset -
Published on (4 days ago)
There is an increasing need for an objective grading system to evaluate the severity of dry eye disease (DED). In this study, a fully automated deep learning-based system for the assessment of DED severity was developed. Corneal fluorescein staining (CFS) images of DED patients from one hospital for system development (n = 1400) and from another hospital for external validation (n = 94) were collected. Three experts graded the CFS images using NEI scale, and the median value was used as ground t
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S2 Dataset -
Published on (4 days ago)
There is an increasing need for an objective grading system to evaluate the severity of dry eye disease (DED). In this study, a fully automated deep learning-based system for the assessment of DED severity was developed. Corneal fluorescein staining (CFS) images of DED patients from one hospital for system development (n = 1400) and from another hospital for external validation (n = 94) were collected. Three experts graded the CFS images using NEI scale, and the median value was used as ground t
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S1 Dataset -
Published on (4 days ago)
There is an increasing need for an objective grading system to evaluate the severity of dry eye disease (DED). In this study, a fully automated deep learning-based system for the assessment of DED severity was developed. Corneal fluorescein staining (CFS) images of DED patients from one hospital for system development (n = 1400) and from another hospital for external validation (n = 94) were collected. Three experts graded the CFS images using NEI scale, and the median value was used as ground t
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Table_2_Evaluation of a computer-aided diagnostic model for corneal diseases by analyzing in vivo confocal microscopy images.docx
Published on (4 days ago)
ObjectiveIn order to automatically and rapidly recognize the layers of corneal images using in vivo confocal microscopy (IVCM) and classify them into normal and abnormal images, a computer-aided diagnostic model was developed and tested based on deep learning to reduce physicians’ workload.MethodsA total of 19,612 corneal images were retrospectively collected from 423 patients who underwent IVCM between January 2021 and August 2022 from Renmin Hospital of Wuhan University (Wuhan, China) and Zhon
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Table_1_Evaluation of a computer-aided diagnostic model for corneal diseases by analyzing in vivo confocal microscopy images.docx
Published on (4 days ago)
ObjectiveIn order to automatically and rapidly recognize the layers of corneal images using in vivo confocal microscopy (IVCM) and classify them into normal and abnormal images, a computer-aided diagnostic model was developed and tested based on deep learning to reduce physicians’ workload.MethodsA total of 19,612 corneal images were retrospectively collected from 423 patients who underwent IVCM between January 2021 and August 2022 from Renmin Hospital of Wuhan University (Wuhan, China) and Zhon
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Clinical Neuropathy Data
Published on (4 days ago)
Data file in Excel format, with clinical diabetes and neuropathy parameters in a Swedish cohort, taken at baseline and follow-up in 2014. The follow-up data corresponds to the same time point where in vivo corneal confocal microscopy data/images were taken (see other datasets in the collection).
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Dataset
Published on (4 days ago)
Infectious keratitis is a group of corneal disorders in which corneal tissues suffer inflammation and damage caused by pathogenic infections. Among these, Fungal Keratitis (FK) and Acanthamoeba Keratitis (AK) are some of the most severe, with a high chance of permanent blindness if they are not diagnosed early and accurately. In Vivo Confocal Microscopy (IVCM) allows the imaging of different layers of the cornea, providing an important tool for an early and more accurate diagnosis. In this paper
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Wide-field mosaic dataset of the corneal subbasal nerve plexus in Parkinson’s disease using in vivo confocal microscopy
Published on (4 days ago)
In vivo confocal microscopy (VCM) Mosaic images (as TIFF files) representing a larger number of patients with Parkinson’s disease (n=42) and healthy controls (n=13). Dataset includes epidemiological data for the study population as well as parameters related to the IVCM images including corneal nerve fiber length (CNFL), corneal nerve branch density (CNBD), density of different types of inflammatory cells (mature and immature dendritic), in the Excel file. The dataset also includes zipped folder
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Measurements of ex vivo human corneal endothelium using Voronoi segmentation.
Published on (4 days ago)
This dataset of size and shape measurements of 354,998 human corneal endothelial cells, from 2000 routine assessment images, from a sequential series of 678 corneas from 351 donors, was collected with consent by the New Zealand National Eye Bank over several years, after organ-culture storage but prior to release for transplantation. The measurement methodology using Voronoi segmentation is detailed in:Brookes NH. Morphometry of organ-cultured corneal endothelium using Voronoi segmentation. Cell
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Plane wave ultrasound and OCT angiography of the eye in preeclampsia
Published on (4 days ago)
This study involves examination of ocular blood flow in human subjects in preeclampsia (PE). Both eyes were examined by plane-wave ultrasound and by optical coherence angiography (OCTA) within 72 hours of delivery. Ultrasound Doppler was used to assess flow velocity and resistance in the central retinal artery and vein, the short posterior ciliary arteries and the choroid. OCTA was used to assess vascular density in the superficial and deep retina and the choriocapillaris. Analysis include
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Controllable retinal image synthesis using conditional StyleGAN and latent space manipulation for improved diagnosis and grading of diabetic retinopathy
Published on (4 days ago)
This research leverages ConditionalStyleGAN to generate synthetic fundus images, which are then used to enhance the performance of a retinopathy grading classifier across various scenarios. The pretrained ConditionalStyleGAN model is located in the "CStyleGAN" folder. Our findings indicate that the best results for the grading classifier are achieved when it is initially pretrained with synthetic images and subsequently fine-tuned with real images. Detailed results, including all images used in
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"GLEAM: Glaucoma Lesion Evaluation and Analysis with Multi-modal Imaging"
Published on (4 days ago)
"GLEAM contains 1,200 samples with SLO fundus images, circumpapillary OCT images, and VF PD maps , covering a four-class staging (normal, early, intermediate, and advanced glaucoma)."
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Synthetic Glaucoma Progression Dataset and Analysis Code for "ChatGPT-5–Assisted Nonlinear Time-Series Analysis of Glaucoma Progression
Published on (4 days ago)
Exact synthetic dataset (300 patients / 600 eyes; ~5-year irregular follow-up) and analysis pipeline matching the manuscript “ChatGPT-5–Assisted Nonlinear Time-Series Analysis of Glaucoma Progression: Persistence, Volatility, and Rapid Deterioration Metrics from a Fully Synthetic Cohort”. The archive includes: Main dataset in CSV/XLSX format (exact version used in the manuscript) Data dictionary Per-eye metrics file used for results Preview subsets of the dataset Python script to reproduce
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Synthetic Glaucoma Progression Dataset and Analysis Code for "ChatGPT-5–Assisted Nonlinear Time-Series Analysis of Glaucoma Progression
Published on (4 days ago)
Exact synthetic dataset (300 patients / 600 eyes; ~5-year irregular follow-up) and analysis pipeline matching the manuscript “ChatGPT-5–Assisted Nonlinear Time-Series Analysis of Glaucoma Progression: Persistence, Volatility, and Rapid Deterioration Metrics from a Fully Synthetic Cohort”. The archive includes: Main dataset in CSV/XLSX format (exact version used in the manuscript) Data dictionary Per-eye metrics file used for results Preview subsets of the dataset Python script to reproduce
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Analysis of digital volume correlation results of eyes of glaucoma patients imaged by SD-OCT before and after laser suturelysis.
Published on (4 days ago)
Analysis of digital volume correlation data of eyes of glaucoma patients imaged by SD-OCT before and after laser suturelysis. The data was published inYuan Z, Czerpak CA, Kashaf MS, Quigley HA, Nguyen TD. Biomechanical Strain Responses in the Sclera, Choroid, and Retina in Glaucoma Patients After Intraocular Pressure Lowering. J Biomech Eng. 2025 May 1;147(5). doi: 10.1115/1.4068155. PubMed PMID: 40079568; PubMed Central PMCID: PMC11977571.
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Supplementary Material for: Distinctive intrableb structures of functioning blebs following trabeculectomy according to amniotic membrane transplantation
Published on (4 days ago)
Introduction: Intrableb structures are hallmark features of the filtering bleb. This study aimed to compare the characteristics of functioning blebs using anterior segment optical coherence tomography (AS-OCT) according to amniotic membrane transplantation (AMT). Methods: Forty eyes from 40 patients diagnosed with primary open-angle glaucoma who underwent trabeculectomy, either with AMT (20 eyes) or without AMT (control group, 20 eyes), were included. Parameters including bleb height, bleb wall
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Dataset: FAIR AMD OCT Datasets Paper
Published on (4 days ago)
This is the dataset associated with the paper titled "Publicly Available Imaging Datasets for Age-related Macular Degeneration: Evaluation according to the Findable, Accessible, Interoperable, Reproducible (FAIR) Principles". Age-related macular degeneration (AMD), a leading cause of vision loss among older adults, affects more than 200 million people worldwide. In this paper, We evaluated openly available AMD-related datasets containing optical coherence tomography (OCT) data against the FAIR p
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Diabetes OCT glaucoma screening
Published on (4 days ago)
Datasets for diabetic eye disease screening patients and glaucoma suspects
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Supplementary Material for: A Combined Index of Steady-state Pattern Electroretinogram and Optical Coherence Tomography improved the Detection of Early Glaucoma
Published on (4 days ago)
Introduction: To evaluate the structure-function relationship between steady-state pattern electroretinogram (ssPERG), optical coherence tomography (OCT), and visual field (VF) tests, and to investigate indicators that enhance the detection of preperimetric and early-stage primary open angle glaucoma (POAG). Methods: In this retrospective cohort study, patients with POAG and normal subjects who underwent ssPERG, OCT, and VF tests were included. We defined the ratio of the amplitudes from 0.8° ch
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A Composite Retinal Fundus and OCT Dataset along with Detailed Clinical Markings for Extracting Retinal Layers, Retinal Lesions and Screening Macular and Glaucomatous Disorders
Published on (4 days ago)
This repository contains composite retinal fundus and OCT dataset for analyzing retinal layers, retinal lesions, and to diagnose normal and abnormal retinal diseases like Macular Edema, Central Serous Retinopathy, Age-related Macular Degeneration, and Glaucoma.
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A Composite Retinal Fundus and OCT Dataset along with Detailed Clinical Markings for Extracting Retinal Layers, Retinal Lesions and Screening Macular and Glaucomatous Disorders
Published on (4 days ago)
This repository contains composite retinal fundus and OCT dataset for analyzing retinal layers, retinal lesions, and to diagnose normal and abnormal retinal diseases like Macular Edema, Central Serous Retinopathy, Age-related Macular Degeneration, and Glaucoma.
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Supplementary Material for: Distinctive intrableb structures of functioning blebs following trabeculectomy according to amniotic membrane transplantation
Published on (4 days ago)
Introduction: Intrableb structures are hallmark features of the filtering bleb. This study aimed to compare the characteristics of functioning blebs using anterior segment optical coherence tomography (AS-OCT) according to amniotic membrane transplantation (AMT). Methods: Forty eyes from 40 patients diagnosed with primary open-angle glaucoma who underwent trabeculectomy, either with AMT (20 eyes) or without AMT (control group, 20 eyes), were included. Parameters including bleb height, bleb wall
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Repeatability and Reproducibility of Anterior Chamber Angle Measurement with Swept-Source Optical Coherence Tomography in Patients with Primary Angle Closure Suspect
Published on (4 days ago)
Purpose : To evaluate the inter- and intra-observer reliability of anterior chamber (AC) angle measurements obtained by swept-source optical coherence tomography (SS-OCT). Methods: Forty-eight consecutive patients diagnosed with primary angle closure suspect (PACS) were included. Three masked observers at different training levels (one glaucoma specialist, one ophthalmology resident, and one pre-medical college student) measured 192 SS-OCT images of the PACS patients. One observer (
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Synthetic OCT Glaucoma Dataset
Published on (4 days ago)
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Maetschke et al. dataset
Published on (4 days ago)
The dataset used in this study for glaucoma detection from 3D OCT imaging.
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Dataset: FAIR AMD OCT Datasets Paper
Published on (4 days ago)
This is the dataset associated with the paper titled "Publicly Available Imaging Datasets for Age-related Macular Degeneration: Evaluation according to the Findable, Accessible, Interoperable, Reproducible (FAIR) Principles". Age-related macular degeneration (AMD), a leading cause of vision loss among older adults, affects more than 200 million people worldwide. In this paper, We evaluated openly available AMD-related datasets containing optical coherence tomography (OCT) data against the FAIR p
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OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods
Published on (4 days ago)
Optical coherence tomography (OCT) is a non-invasive imaging technique that has extensive clinical applications in ophthalmology. OCT enables the visualization of the retinal layers, playing a vital role in the early detection and monitoring of retinal diseases. OCT uses the principle of light wave interference to create detailed images of the retinal microstructures, making it a valuable tool for diagnosing ocular conditions. Optical Coherence Tomography Dataset for Image-Based Deep Learning Me
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Evaluation benchmark for natural robustness evaluation of retinal vessel segmentation models
Published on (4 days ago)
A dataset contains benchmark images for natural robustness evaluation of deep learning models for retinal vessel segmentation. The dataset consists of three mainstream retinal vessel segmentation datasets: DRIVE, STARE, and CHASE_DB1. For each dataset are provided: images - directory containing fundus images augmented using AugOOD tool for fast image augmentation for OOD robustness evaluation. labels - directory with labels that correspond to the images. masks - directory with FoV masks th
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RVD: A Handheld Device-Based Fundus Video Dataset for Retinal Vessel Segmentation
Published on (4 days ago)
We introduce the first video-based retinal vessel dataset (RVD) , a collection of 635 smartphone-based videos with detailed vessel annotation. All captured videos have a frame rate of 25 frames per second, with the duration varying between 2 to 30 seconds. The total number of frames in our dataset is over 130,000. These videos are recorded from four clinics, including patients from 50 to 75 years old. More specifically, 264 males and 151 females are included in the collection pro
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Supplementary Material for: Intraoperative Optical Coherence Tomography-Assisted 27-Gauge Vitrectomy in Eyes with Vitreoretinal Diseases
Published on (4 days ago)
Objective: To report intraoperative optical coherence tomography (iOCT)-assisted 27-gauge microincision vitrectomy surgery (MIVS) in eyes with vitreoretinal disease. Methods: A retrospective, interventional case series performed at a single center, including 6 eyes with retinal disease that underwent iOCT-assisted 27-gauge MIVS. Results: The advantages of iOCT were most notable when it was used to evaluate, in real time, different macular areas: the pre-
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Repeatability and Reproducibility of Anterior Chamber Angle Measurement with Swept-Source Optical Coherence Tomography in Patients with Primary Angle Closure Suspect
Published on (4 days ago)
Purpose : To evaluate the inter- and intra-observer reliability of anterior chamber (AC) angle measurements obtained by swept-source optical coherence tomography (SS-OCT). Methods: Forty-eight consecutive patients diagnosed with primary angle closure suspect (PACS) were included. Three masked observers at different training levels (one glaucoma specialist, one ophthalmology resident, and one pre-medical college student) measured 192 SS-OCT images of the PACS patients. One observer (
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Supporting Data for Thesis Titled "<b>Harnessing the Power of Deep Learning for Ophthalmic Disease Diagnosis: A Study on Glaucoma and Exudative Age-Related Macular Degeneration</b> "
Published on (4 days ago)
The dataset comprises optical nerve head radial peripapillary capillaries (ONH RPC) angiography images captured using a commercially available spectral-domain Zeiss Cirrus 6000 HD OCT (Carl Zeiss AG, Oberkochen, Germany). The OCTA scans cover a 4.5 mm x 4.5 mm area around the optic nerve head, with an A-scan rate of 68 kHz.The dataset includes measurements from both the right (OD) and left (OS) eyes, with each eye classified into one of three categories: normal, suspect, and glaucoma. Each categ
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Supporting Data for Thesis Titled "<b>Harnessing the Power of Deep Learning for Ophthalmic Disease Diagnosis: A Study on Glaucoma and Exudative Age-Related Macular Degeneration</b> "
Published on (4 days ago)
The dataset comprises optical nerve head radial peripapillary capillaries (ONH RPC) angiography images captured using a commercially available spectral-domain Zeiss Cirrus 6000 HD OCT (Carl Zeiss AG, Oberkochen, Germany). The OCTA scans cover a 4.5 mm x 4.5 mm area around the optic nerve head, with an A-scan rate of 68 kHz.The dataset includes measurements from both the right (OD) and left (OS) eyes, with each eye classified into one of three categories: normal, suspect, and glaucoma. Each categ
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Retina OCT glaucoma
Published on (4 days ago)
This data set is part of the public development data for the 2023 Automated Universal Classification Challenge (AUC23). The data set was previously introduced and described by Ishikawa, H. (2018) and concerns the classification of eyes as healthy or glaucomatous from optical coherence tomography (OCT) volumes of the optic nerve head. Data was restructured in compliance with the AUC23 challenge format, and no images or patient information were added. The data set consists of 884 OCT scans. Images
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Swept-source optical coherence tomography detects anterior-chamber changes in patients with angle-closure after laser peripheral iridotomy
Published on (4 days ago)
ABSTRACT Purpose: This study aimed to compare an teriorchamber parameters acquired by a swept-source anteriorsegment optical coherence tomography before and after laser peripheral iridotomy. Methods: This study prospectively evaluated 14 patients with primary-angle closure and six patients with primary-angle closure glaucoma. Gonioscopy and anterior-segment optical coherence tomography using the DRI OCT Triton® were performed before and after laser peripheral iridotomy. Anterior-segment optical
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Distribution of diabetic retinopathy data set.
Published on (4 days ago)
Distribution of diabetic retinopathy data set.
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Supplementary Material for: Faster Macular Vessel Density Loss in More Advanced Primary Open Angle Glaucoma Eyes
Published on (4 days ago)
Purpose: To characterize and compare the longitudinal change of macular vessel density (VD) in primary open angle glaucoma (POAG) eyes across different disease stages. Methods: This is a sub-analysis of a prospective cohort study. A total of 103 eyes (53 eyes in the mild stage, 50 eyes in the moderate-to-advanced stage) of 75 POAG patients followed for more than 1 year with at least 2 qualified optical coherence tomography (OCT) angiography (OCTA) images were included. The rates of macular VD ch
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Supplementary Material for: Faster Macular Vessel Density Loss in More Advanced Primary Open Angle Glaucoma Eyes
Published on (4 days ago)
Purpose: To characterize and compare the longitudinal change of macular vessel density (VD) in primary open angle glaucoma (POAG) eyes across different disease stages. Methods: This is a sub-analysis of a prospective cohort study. A total of 103 eyes (53 eyes in the mild stage, 50 eyes in the moderate-to-advanced stage) of 75 POAG patients followed for more than 1 year with at least 2 qualified optical coherence tomography (OCT) angiography (OCTA) images were included. The rates of macular VD ch
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Arterial hemodynamics and its correlation with retinal microarchitecture in pseudoexfoliation glaucoma
Published on (4 days ago)
ABSTRACT Purpose: The study aimed to investigate the correlation between arterial hemodynamics measured by color Doppler ultrasonography and retinal microarchitecture parameters determined by spectral-domain optical coherence tomography (SD-OCT) in pseudoexfoliation glaucoma. Methods: This prospective study included 82 participants. Peripapillary retinal nerve fiber layer, ganglion cell inner plexiform layer, and ganglion cell complex values were measured. Ophthalmic artery and central retinal a
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Arterial hemodynamics and its correlation with retinal microarchitecture in pseudoexfoliation glaucoma
Published on (4 days ago)
ABSTRACT Purpose: The study aimed to investigate the correlation between arterial hemodynamics measured by color Doppler ultrasonography and retinal microarchitecture parameters determined by spectral-domain optical coherence tomography (SD-OCT) in pseudoexfoliation glaucoma. Methods: This prospective study included 82 participants. Peripapillary retinal nerve fiber layer, ganglion cell inner plexiform layer, and ganglion cell complex values were measured. Ophthalmic artery and central retinal a
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Distribution of vessel segmentation dataset.
Published on (4 days ago)
Distribution of vessel segmentation dataset.
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Diurnal Measurements of Macular Thickness and Vessel Density on OCT Angiography in Healthy Eyes and Those With Ocular Hypertension and Glaucoma
Published on (4 days ago)
The uploaded dataset refers to a prospective study made in 2018-2020
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Diurnal Measurements of Macular Thickness and Vessel Density on OCT Angiography in Healthy Eyes and Those With Ocular Hypertension and Glaucoma
Published on (4 days ago)
The uploaded dataset refers to a prospective study made in 2018-2020
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Use of computerized campimetry and/or optical coherence tomography for glaucoma diagnosis by non-glaucoma specialists
Published on (4 days ago)
ABSTRACT Purpose: To compare the use of visual field and/or optical coherence tomography (OCT) combined with color retinography by non-glaucoma specialists for differentiating glaucoma from physiological cupping. Methods: Eighty patients with glaucoma or physiological cupping (40 of each) were randomized according to the examination used (GI: color retinography, GII: color retinography + visual field, GIII: color retinography + optical coherence tomography, GIV: color retinography + visual field
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Use of computerized campimetry and/or optical coherence tomography for glaucoma diagnosis by non-glaucoma specialists
Published on (4 days ago)
ABSTRACT Purpose: To compare the use of visual field and/or optical coherence tomography (OCT) combined with color retinography by non-glaucoma specialists for differentiating glaucoma from physiological cupping. Methods: Eighty patients with glaucoma or physiological cupping (40 of each) were randomized according to the examination used (GI: color retinography, GII: color retinography + visual field, GIII: color retinography + optical coherence tomography, GIV: color retinography + visual field
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Search strategies for a scoping review "Differential retinal image features/descriptors of the eye diseases Stargardt and dry age-related macular degeneration"
Published on (4 days ago)
DATASET MIGRATED FROM FIGSHARE: <p dir="ltr">This dataset consists of the search documentation for a review on differential retinal image features/descriptors of the eye diseases Stargardt and dry age-related macular degeneration. It contains strategies for the databases Medline (Ovid), Cinahl Complete (Ebsco), Scopus and Web of Science. See the readme.txt for further documentation.</p>
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Data_Sheet_1_A Deep Learning System for Fully Automated Retinal Vessel Measurement in High Throughput Image Analysis.docx
Published on (4 days ago)
MotivationRetinal microvasculature is a unique window for predicting and monitoring major cardiovascular diseases, but high throughput tools based on deep learning for in-detail retinal vessel analysis are lacking. As such, we aim to develop and validate an artificial intelligence system (Retina-based Microvascular Health Assessment System, RMHAS) for fully automated vessel segmentation and quantification of the retinal microvasculature.ResultsRMHAS achieved good segmentation accuracy across dat
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OCT5k: A dataset of multi-disease and multi-graded annotations for retinal layers
Published on (4 days ago)
The thickness and appearance of retinal layers are essential markers for diagnosing and studying eye diseases. Despite the increasing availability of imaging devices to scan and store large amounts of data, analyzing retinal images and generating trial endpoints has remained a manual, error-prone, and time-consuming task. In particular, the lack of large amounts of high-quality labels for different diseases hinders the development of automated algorithms. Therefore, we have compiled 5016 pixel-w
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OCT5k: A dataset of multi-disease and multi-graded annotations for retinal layers
Published on (4 days ago)
The thickness and appearance of retinal layers are essential markers for diagnosing and studying eye diseases. Despite the increasing availability of imaging devices to scan and store large amounts of data, analyzing retinal images and generating trial endpoints has remained a manual, error-prone, and time-consuming task. In particular, the lack of large amounts of high-quality labels for different diseases hinders the development of automated algorithms. Therefore, we have compiled 5016 pixel-w
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OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods
Published on (4 days ago)
Optical coherence tomography (OCT) is a non-invasive imaging technique that has extensive clinical applications in ophthalmology. OCT enables the visualization of the retinal layers, playing a vital role in the early detection and monitoring of retinal diseases. OCT uses the principle of light wave interference to create detailed images of the retinal microstructures, making it a valuable tool for diagnosing ocular conditions. Optical Coherence Tomography Dataset for Image-Based Deep Learning Me
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OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods
Published on (4 days ago)
Optical coherence tomography (OCT) is a non-invasive imaging technique that has extensive clinical applications in ophthalmology. OCT enables the visualization of the retinal layers, playing a vital role in the early detection and monitoring of retinal diseases. OCT uses the principle of light wave interference to create detailed images of the retinal microstructures, making it a valuable tool for diagnosing ocular conditions. Optical Coherence Tomography Dataset for Image-Based Deep Learning Me
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Performance comparison of EPSA module and FGAM on three datasets.
Published on (4 days ago)
Performance comparison of EPSA module and FGAM on three datasets.
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OCT5k: A dataset of multi-disease and multi-graded annotations for retinal layers
Published on (4 days ago)
The thickness and appearance of retinal layers are essential markers for diagnosing and studying eye diseases. Despite the increasing availability of imaging devices to scan and store large amounts of data, analyzing retinal images and generating trial endpoints has remained a manual, error-prone, and time-consuming task. In particular, the lack of large amounts of high-quality labels for different diseases hinders the development of automated algorithms. Therefore, we have compiled 5016 pixel-w
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OCTA Macula Coronal Views
Published on (4 days ago)
Macula Coronal Views (MCV) dataset This dataset is used for experiements aiming to transform opical coherence tomography angiography (OCTA) B-Scan into innovative OCTA graphs. The results of the research will be submitted in a paper titled as: "New macular vasculature graphs in optical coherence tomography angiography". The dataset contains 129 subjects that were organized as follows: 90 Subjects of Normal OCTA scans 29 Subjects of Diabetic Retinopathy (DR) OCTA scans 5 Subjects of Age-rel
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Optical coherence tomography database
Published on (4 days ago)
Optical coherence tomography (OCT) is an emerging technology for performing high-resolution cross-sectional imaging. It utilizes the interferometry concept to create a cross-sectional map of the retina. OCT images are two-dimensional data sets that represent the optical backscattering in a cross-sectional plane through the tissue. OCT allows non-secondary visualization of various structures of the eye, including the retina, vitreous body, and choroid, and to detect pathological changes in
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ADAM: Automatic Detection challenge on Age-related Macular degeneration
Published on (4 days ago)
ADAM is organized as a half day Challenge, a Satellite Event of the ISBI 2020 conference in Iowa City, Iowa, USA.The ADAM challenge focuses on the investigation and development of algorithms associated with the diagnosis of Age-related Macular degeneration (AMD) and segmentation of lesions in fundus photos from AMD patients.The goal of the challenge is to evaluate and compare automated algorithms for the detection of AMD on a common dataset ofretinal fundus images.We invite the medical image ana
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Optic disc localization using vessel clustering and rotational 2D vessel projection
Published on (4 days ago)
Detecting optic disc (OD) in a retinal image is important for the diagnosis of numerous eye diseases. It helps ophthalmologists identify health condition of an eye. This thesis presents two effective methods for analyzing the retinal vessel structure that would be used for locating OD.The first method is Retinal Vessel Clustering. After acquiring vessel data from retinal vessel segmentation, length and average contrast of each vessel is measured. Vessels which are too short or too obscure are re
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Effect of image augmentation and proportional on multiple fundus image modalities for glaucoma prediction
Published on (4 days ago)
This study develops an end-to-end pipeline for glaucoma prediction that works across both Standard View and Ultra-Wide Field fundus modalities. Modality is identified via a simple JPEG file-size rule and then a brightness-guided optic-disc localizer produces a centered optic disc cropping; across 1,300 images (714 glaucoma, 586 non-glaucoma), cropping succeeded on 1,281 images (98.54%), with failures occurring only in Ultra-Wide Field.We trained 42 models with each architecture: AlexNet, ResNet1
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REFUGE: Retinal Fundus Glaucoma Challenge
Published on (4 days ago)
Welcome to the Retinal Fundus Glaucoma Challenge! REFUGE was organized as a half day Challenge in conjunction with the 5th MICCAI Workshop on Ophthalmic Medical Image Analysis (OMIA), a Satellite Event of the MICCAI 2018 conference in Granada, Spain. The goal of the challenge is to evaluate and compare automated algorithms for glaucoma detection and optic disc/cup segmentation on a common dataset of retinal fundus images. With this challenge, we made available a large dataset of 1200 annotated r
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Supplementary Material for: Peripheral Retinal Imaging Biomarkers for Alzheimer’s Disease: A Pilot Study
Published on (4 days ago)
Purpose: To examine whether ultra-widefield (UWF) retinal imaging can identify biomarkers for Alzheimer’s disease (AD) and its progression. Methods: Images were taken using a UWF scanning laser ophthalmoscope (Optos P200C AF) to determine phenotypic variations in 59 patients with AD and 48 healthy controls at baseline (BL). All living participants were invited for a follow-up (FU) after 2 years and imaged again (if still able to participate). All participants had bloo
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Supplementary Material for: Peripheral Retinal Imaging Biomarkers for Alzheimer’s Disease: A Pilot Study
Published on (4 days ago)
Purpose: To examine whether ultra-widefield (UWF) retinal imaging can identify biomarkers for Alzheimer’s disease (AD) and its progression. Methods: Images were taken using a UWF scanning laser ophthalmoscope (Optos P200C AF) to determine phenotypic variations in 59 patients with AD and 48 healthy controls at baseline (BL). All living participants were invited for a follow-up (FU) after 2 years and imaged again (if still able to participate). All participants had bloo
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Supplementary Material for: Two macular holes due to choroidal neovascularization after pars plana vitrectomy with internal limiting membrane peeling
Published on (4 days ago)
Introduction: To present a case of two macular holes (MHs) with myopic choroidal neovascularization (CNV) lesion. Case Presentation: A single case was evaluated. A 72-year-old woman presented with two small MHs in her left eye. One year ago, she had undergone vitrectomy for myopic foveal schisis, and a significant reduction of the schisis and a CNV lesion was observed after surgery. On examination, OCT (optical coherence tomography) showed the atrophic CNV and two MHs were located upper and lowe
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Supplementary Material for: Two macular holes due to choroidal neovascularization after pars plana vitrectomy with internal limiting membrane peeling
Published on (4 days ago)
Introduction: To present a case of two macular holes (MHs) with myopic choroidal neovascularization (CNV) lesion. Case Presentation: A single case was evaluated. A 72-year-old woman presented with two small MHs in her left eye. One year ago, she had undergone vitrectomy for myopic foveal schisis, and a significant reduction of the schisis and a CNV lesion was observed after surgery. On examination, OCT (optical coherence tomography) showed the atrophic CNV and two MHs were located upper and lowe
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OCT
Published on (4 days ago)
This dataset consists of publicly available ophthalmic OCT images, including categories such as CNV (choroidal neovascularization), DRUSEN (macular drusen), and NORMAL (normal). It serves as the raw data for the study titled Super-Resolution Reconstruction of OCT Images Based on Frequency and Spatial Information in Adversarial Neural Networks. The data is sourced from a publicly available image dataset, with reference to D. Kermany, K. Zhang, and M. Goldbaum, "Labeled Optical Coherence Tomo
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Choroidal neovascularization following laser pointer-induced macular injury: case report and overview
Published on (4 days ago)
Abstract The purpose is to report a case of laser pointer-induced maculopathy and to describe its characteristics using spectral-domain optical coherence tomography (SD-OCT), further the outcome of treatment with intravitreal injections. A 35-year-old man presented with a 6-day history of central vision loss in his right eye (RE) after an accidental laser pointer discharge (wavelength of 532 nm). He underwent a full ophthalmologic examination, including SD-OCT, which suggested the presence of su
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Optical coherence tomography in patients undergoing cataract surgery
Published on (4 days ago)
ABSTRACTPurpose:To assess the ability of spectral domain optical coherence tomography (SD-OCT) to diagnose macular changes pre- and post-cataract surgery and to identify changes in central foveal thickness (CFT) relative to age, sex, and presence of concomitant ophthalmic pathologies, for a period of 6 months post-surgery.Methods:A prospective study of patients evaluated by SD-OCT within 5 h before surgery at 7, 30, 60, 90, and 180 days post-op, with respect to CFT and presence of maculopathy.Re
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Choroidal neovascularization following laser pointer-induced macular injury: case report and overview
Published on (4 days ago)
Abstract The purpose is to report a case of laser pointer-induced maculopathy and to describe its characteristics using spectral-domain optical coherence tomography (SD-OCT), further the outcome of treatment with intravitreal injections. A 35-year-old man presented with a 6-day history of central vision loss in his right eye (RE) after an accidental laser pointer discharge (wavelength of 532 nm). He underwent a full ophthalmologic examination, including SD-OCT, which suggested the presence of su
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Supplementary Material for: Evaluation of Retinal Pigment Epithelium and Choroidal Neovascularization in Rats Using Laser-Scanning Optical-Resolution Photoacoustic Microscopy
Published on (4 days ago)
Purpose: To demonstrate the value of the laser-scanning optical-resolution (LSOR)-photoacoustic (PA) microscopy (PAM) system and the conventional multimodal imaging techniques in the evaluation of laser-induced retinal injury and choroidal neovascularization (CNV) in rats. Methods: Different degrees of retinal injury were induced using laser photocoagulation. We compared the LSOR-PAM system with conventional imaging techniques in evaluating retinal injury with or with
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Supplementary Material for: Evaluation of Retinal Pigment Epithelium and Choroidal Neovascularization in Rats Using Laser-Scanning Optical-Resolution Photoacoustic Microscopy
Published on (4 days ago)
Purpose: To demonstrate the value of the laser-scanning optical-resolution (LSOR)-photoacoustic (PA) microscopy (PAM) system and the conventional multimodal imaging techniques in the evaluation of laser-induced retinal injury and choroidal neovascularization (CNV) in rats. Methods: Different degrees of retinal injury were induced using laser photocoagulation. We compared the LSOR-PAM system with conventional imaging techniques in evaluating retinal injury with or with
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Supplementary Material for: Short-Term Progression of Diabetic Hard Exudates Monitored with High-Resolution Camera
Published on (4 days ago)
Purpose: To assess the progression of diabetic hard exudates over an 8-week period, using a high-resolution adaptive optics camera. Design: Prospective observational study. Methods: Five eyes of three patients presenting diabetic maculopathy with hard exudates were studied. An area of clinically visible exudates was imaged sequentially using SD-OCT and high-resolution flood illumination adaptive optics for 2 months, on a weekly basis. A time-lapse video
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A Phase 2, Double-Masked, Randomized, Active Controlled Study to Evaluate the Efficacy and Safety of ASP8232 in Reducing Central Retinal Thickness in Subjects With Diabetic Macular Edema
Published on (4 days ago)
The purpose of this study is to evaluate efficacy and safety of ASP8232 in subjects with diabetic macular edema (DME). This study will evaluate the percent change from baseline in excess central subfield thickness (CST) in the study eye as assessed by spectral domain-optical coherence Tomography (SD-OCT) for ASP8232 monotherapy at Month 3.
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Supplementary Material for: Comparison of 55° Wide-Field Spectral Domain Optical Coherence Tomography and Conventional 30° Optical Coherence Tomography for the Assessment of Diabetic Macular Edema
Published on (4 days ago)
Purpose: To compare conventional 30° spectral domain optical coherence tomography (SD-OCT) with 55° wide-field SD-OCT for the assessment of diabetic macular edema (DME). Methods: This study included 50 DME patients. Both 55° and 30° SD-OCT was conducted. Two readers evaluated scans according to a standardized grading protocol. Intergrader agreement as well as agreement between 30° and 55° SD-OCT were assessed. Results: Intergrader agreement (κ) was stron
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Macular OCT Images Dataset
Published on (4 days ago)
A dataset of macular OCT images of healthy controls and patients with diabetic macular edema
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Supplementary Material for: Evaluation of an Artificial Intelligence-based Detector of Sub- and Intra-Retinal Fluid on a large set of OCT volumes in AMD and DME
Published on (4 days ago)
Abstract Introduction: In this retrospective cohort study, we wanted to evaluate the performance and analyze the insights of an artificial intelligence (AI) algorithm in detecting retinal fluid in spectral-domain OCT volume scans from a large cohort of patients with neovascular age-related macular degeneration (AMD) and diabetic macular edema (DME). Methods: A total of 3’981 OCT volumes from 374 patients with AMD and 11’501 OCT volumes from 811 patients with DME, acquired with Heidelberg Spectra
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OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics
Published on (4 days ago)
Clinical diagnosis of the eye is performed over multifarious data modalities including scalar clinical labels, vectorized biomarkers, two-dimensional fundus images, and three-dimensional Optical Coherence Tomography (OCT) scans. While the clinical labels, fundus images and OCT scans are instrumental measurements, the vectorized biomarkers are interpreted attributes from the other measurements. Clinical practitioners use all these data modalities for diagnosing and treating eye diseases like Diab
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OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics
Published on (4 days ago)
Clinical diagnosis of the eye is performed over multifarious data modalities including scalar clinical labels, vectorized biomarkers, two-dimensional fundus images, and three-dimensional Optical Coherence Tomography (OCT) scans. While the clinical labels, fundus images and OCT scans are instrumental measurements, the vectorized biomarkers are interpreted attributes from the other measurements. Clinical practitioners use all these data modalities for diagnosing and treating eye diseases like Diab
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Comparison of choroidal thickness in normal eyes and different ocular pathologies in a Brazilian population
Published on (4 days ago)
Abstract Objective: To evaluate the choroidal thickness (CT) in healthy Brazilian subjects using spectral-domain optical coherence tomography (SD-OCT) and to compare with choroidal thickness measured in Brazilian patients with diabetic macular edema (DME), neovascular age-related macular degeneration (AMD) and high myopia. Methods: A retrospective analysis of spectral domain optical coherence tomography (SD-OCT) images of 181 Brazilian subjects. A total of 74 eyes were included in the normal con
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Comparison of choroidal thickness in normal eyes and different ocular pathologies in a Brazilian population
Published on (4 days ago)
Abstract Objective: To evaluate the choroidal thickness (CT) in healthy Brazilian subjects using spectral-domain optical coherence tomography (SD-OCT) and to compare with choroidal thickness measured in Brazilian patients with diabetic macular edema (DME), neovascular age-related macular degeneration (AMD) and high myopia. Methods: A retrospective analysis of spectral domain optical coherence tomography (SD-OCT) images of 181 Brazilian subjects. A total of 74 eyes were included in the normal con
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Supplementary Material for: Comparison of 55° Wide-Field Spectral Domain Optical Coherence Tomography and Conventional 30° Optical Coherence Tomography for the Assessment of Diabetic Macular Edema
Published on (4 days ago)
Purpose: To compare conventional 30° spectral domain optical coherence tomography (SD-OCT) with 55° wide-field SD-OCT for the assessment of diabetic macular edema (DME). Methods: This study included 50 DME patients. Both 55° and 30° SD-OCT was conducted. Two readers evaluated scans according to a standardized grading protocol. Intergrader agreement as well as agreement between 30° and 55° SD-OCT were assessed. Results: Intergrader agreement (κ) was stron
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Supplementary Material for: Evaluating Dissociated Optic Nerve Fiber Layer Appearance Using En Face Layer Imaging Produced by Optical Coherence Tomography
Published on (4 days ago)
Purpose: To investigate the incidence of and risk factors for a dissociated optic nerve fiber layer (DONFL) appearance after pars plana vitrectomy (PPV). Methods: We retrospectively reviewed 189 eyes that underwent PPV with internal limiting membrane removal and judged the presence/absence of an apparent DONFL based on en face layer images produced by spectral-domain optical coherence tomography (SD-OCT). Results: An apparent DONFL was observed in 47 (24
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Serous retinal detachment in patients with macular edema secondary to branch retinal vein occlusion
Published on (4 days ago)
ABSTRACT Purpose: The aim of the present study was to evaluate visual acuity (VA) and central macular thickness (CMT) to assess the influence of serous retinal detachment (SRD) in eyes with macular edema (ME) secondary to branch retinal vein occlusion (BRVO). Methods: Sixty-one eyes with BRVO from 61 patients with ME were analyzed and divided into two groups according to the spectral domain optical coherence tomography (OCT) findings of SRD and cystoid macular edema (CME). All patients underwent
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Serous retinal detachment in patients with macular edema secondary to branch retinal vein occlusion
Published on (4 days ago)
ABSTRACT Purpose: The aim of the present study was to evaluate visual acuity (VA) and central macular thickness (CMT) to assess the influence of serous retinal detachment (SRD) in eyes with macular edema (ME) secondary to branch retinal vein occlusion (BRVO). Methods: Sixty-one eyes with BRVO from 61 patients with ME were analyzed and divided into two groups according to the spectral domain optical coherence tomography (OCT) findings of SRD and cystoid macular edema (CME). All patients underwent
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Treatment of cystoid macular edema secondary to chronic non-infectious intermediate uveitis with an intraocular dexamethasone implant
Published on (4 days ago)
ABSTRACT Purpose: To evaluate the use of a slow-release dexamethasone 0.7-mg intravitreal implant for cystoid macular edema (CME) secondary to intermediate uveitis and refractory to systemic steroids. Methods: A retrospective study of the best-corrected visual acuity (BCVA), intraocular inflammation, intraocular pressure (IOP), fundus photography, optical coherence tomography (OCT), inflammation, and adverse reactions of five patients (women, mean age of 35 years) with cystoid macular edema trea
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Treatment of cystoid macular edema secondary to chronic non-infectious intermediate uveitis with an intraocular dexamethasone implant
Published on (4 days ago)
ABSTRACT Purpose: To evaluate the use of a slow-release dexamethasone 0.7-mg intravitreal implant for cystoid macular edema (CME) secondary to intermediate uveitis and refractory to systemic steroids. Methods: A retrospective study of the best-corrected visual acuity (BCVA), intraocular inflammation, intraocular pressure (IOP), fundus photography, optical coherence tomography (OCT), inflammation, and adverse reactions of five patients (women, mean age of 35 years) with cystoid macular edema trea
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Optical coherence tomography in patients undergoing cataract surgery
Published on (4 days ago)
ABSTRACTPurpose:To assess the ability of spectral domain optical coherence tomography (SD-OCT) to diagnose macular changes pre- and post-cataract surgery and to identify changes in central foveal thickness (CFT) relative to age, sex, and presence of concomitant ophthalmic pathologies, for a period of 6 months post-surgery.Methods:A prospective study of patients evaluated by SD-OCT within 5 h before surgery at 7, 30, 60, 90, and 180 days post-op, with respect to CFT and presence of maculopathy.Re
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Effect of intravitreal anti-VEGF on choroidal thickness in patients with diabetic macular edema using spectral domain OCT
Published on (4 days ago)
ABSTRACT Purpose: To evaluate choroidal thickness (CT) using spectral domain optical coherence tomography (SD-OCT) imaging at baseline and 6 months after intravitreal anti-vascular endothelial growth factor (anti-VEGF) treatment in patients with diabetic macular edema (DME). Methods: A retrospective chart review was performed to identify patients with DME who underwent intravitreal injection of anti-VEGF (bevacizumab or ranibizumab) in a pro re nata (PRN) regimen. Subfoveal choroidal thickness w
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Effect of intravitreal anti-VEGF on choroidal thickness in patients with diabetic macular edema using spectral domain OCT
Published on (4 days ago)
ABSTRACT Purpose: To evaluate choroidal thickness (CT) using spectral domain optical coherence tomography (SD-OCT) imaging at baseline and 6 months after intravitreal anti-vascular endothelial growth factor (anti-VEGF) treatment in patients with diabetic macular edema (DME). Methods: A retrospective chart review was performed to identify patients with DME who underwent intravitreal injection of anti-VEGF (bevacizumab or ranibizumab) in a pro re nata (PRN) regimen. Subfoveal choroidal thickness w
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Supplementary Material for: Short-Term Progression of Diabetic Hard Exudates Monitored with High-Resolution Camera
Published on (4 days ago)
Purpose: To assess the progression of diabetic hard exudates over an 8-week period, using a high-resolution adaptive optics camera. Design: Prospective observational study. Methods: Five eyes of three patients presenting diabetic maculopathy with hard exudates were studied. An area of clinically visible exudates was imaged sequentially using SD-OCT and high-resolution flood illumination adaptive optics for 2 months, on a weekly basis. A time-lapse video
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Supplementary Material for: Characterization of Initial Stages of Diabetic Macular Edema
Published on (4 days ago)
Purpose: This study is aimed at characterizing the type of retinal edema in the initial stages of retinopathy in type 2 diabetes. Methods: In this retrospective cross-sectional study, spectral domain optical coherence tomography (OCT) layer by layer analysis of the retina in association with OCT-Leakage, an algorithm to detect sites of low optical reflectivity, were used to examine eyes with minimal, mild, and moderate diabetic retinopathy (DR). Results:
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Differentiation of Underlying Pathologies of Macular Edema Using Spectral Domain Optical Coherence Tomography (SD-OCT)
Published on (4 days ago)
Purpose : To describe the morphological characteristics of macular edema (ME) of different origins using spectral domain optical coherence tomography (SD-OCT). Methods : This article summarizes and highlights key morphologic findings, based on published articles, describing the characteristic presentations of ME of different origins using SD-OCT. The following pathologies were included: uveitic macular edema, pseudophakic cystoid macular edema (PCME), diabetic macular edema (DME), ma
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Retinal thickness profiles in patients with Behçet uveitis during remission
Published on (4 days ago)
ABSTRACT Purpose: The purpose of this study was to evaluate the intraretinal layer thickness in the macular region and its correlation with the duration of uveitis and visual acuity in patients with Behçet uveitis. Methods: In this cross-sectional study, we included 93 eyes of 57 patients with Behçet uveitis and 100 eyes of 50 healthy individuals admitted to a tertiary center from January to September 2017. We performed macular measurements in all subjects via spectral domain-optical coherence t
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Differentiation of Underlying Pathologies of Macular Edema Using Spectral Domain Optical Coherence Tomography (SD-OCT)
Published on (4 days ago)
Purpose : To describe the morphological characteristics of macular edema (ME) of different origins using spectral domain optical coherence tomography (SD-OCT). Methods : This article summarizes and highlights key morphologic findings, based on published articles, describing the characteristic presentations of ME of different origins using SD-OCT. The following pathologies were included: uveitic macular edema, pseudophakic cystoid macular edema (PCME), diabetic macular edema (DME), ma
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Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation
Published on (4 days ago)
Modern biomedical image analysis using deep learning often encounters the challenge of limited annotated data. To overcome this issue, deep generative models can be employed to synthesize realistic biomedical images.
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Duke University dataset
Published on (4 days ago)
Segmentation of retinal OCT B-scans into 7 retinal layers and accumulated fluid.
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Supplementary Material for: Choriocapillaris Flow Signal Impairment in Sorsby Fundus Dystrophy
Published on (4 days ago)
ABSTRACT Purpose To quantify choriocapillaris flow alterations in early Sorsby Fundus Dystrophy (SFD) and to investigate the relationship of the choriocapillaris flow deficits with the choroidal and outer retinal microstructure. Methods In this prospective case-control study, 18 eyes of 11 patients with early SFD and 31 eyes of 31 controls without ocular pathology underwent multimodal imaging, including spectral-domain optical coherence tomography (OCT), followed by deep-learning-based layer seg
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Data for: Retinal layer segmentation in rodent OCT images: Local intensity profiles & fully convolutional neural networks
Published on (4 days ago)
Database of rodent OCTs composed of two batches of images. Animal experiment permission was granted by the Danish Animal Experimentation Council (license number: 2017-15-0201-01213). Rat OCT images were taken with the Micron IV equipment (Phoenix Research Labs, Pleasanton, USA). All rats were anesthetized previously to image acquisition. A set of 22 Sprague-Dawley rats were used. The first batch is composed of 129 OCT images and the second one of 115 images (image size: 1024x1024 pixels; resolut
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UTHealth - Fundus and Synthetic OCT-A Dataset (UT-FSOCTA)
Published on (4 days ago)
Introduction Vessel segmentation in fundus images is essential in the diagnosis and prognosis of retinal diseases and the identification of image-based biomarkers. However, creating a vessel segmentation map can be a tedious and time consuming process, requiring careful delineation of the vasculature, which is especially hard for microcapillary plexi in fundus images. Optical coherence tomography angiography (OCT-A) is a relatively novel modality visualizing blood flow and microcapillary plexi
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Retinal Vessel
Published on (4 days ago)
Three real-world public retinal datasets: 1. DRIVE Ref. Ridge-based Vessel Segmentation in Color Images of The Retina (https://drive.grand-challenge.org/Download) 2. STARE Ref. Locating Blood Vessels in Retinal Images by Piecewise Threshold Probing of a Matched Filter Response (https://cecas.clemson.edu/~ahoover/stare) 3. CHASE_DB1 Ref. An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation (https://blogs.kingston.ac.uk/retinal/chasedb1/)
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Retinal thickness profiles in patients with Behçet uveitis during remission
Published on (4 days ago)
ABSTRACT Purpose: The purpose of this study was to evaluate the intraretinal layer thickness in the macular region and its correlation with the duration of uveitis and visual acuity in patients with Behçet uveitis. Methods: In this cross-sectional study, we included 93 eyes of 57 patients with Behçet uveitis and 100 eyes of 50 healthy individuals admitted to a tertiary center from January to September 2017. We performed macular measurements in all subjects via spectral domain-optical coherence t
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Identifying and understanding optical coherence tomography artifacts that may be confused with glaucoma
Published on (4 days ago)
ABSTRACT Optical coherence tomography is often used for detection of glaucoma as well as to monitor progression. This paper reviews the most common types of artifacts on the optical coherence tomography report that may be confused with glaucomatous damage. We mainly focus on anatomy-related artifacts in which the retinal layer segmentation and thickness measurements are correct. In such cases, the probability maps (also known as deviation maps) show abnormal (red and yellow) regions, which may m
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Identifying and understanding optical coherence tomography artifacts that may be confused with glaucoma
Published on (4 days ago)
ABSTRACT Optical coherence tomography is often used for detection of glaucoma as well as to monitor progression. This paper reviews the most common types of artifacts on the optical coherence tomography report that may be confused with glaucomatous damage. We mainly focus on anatomy-related artifacts in which the retinal layer segmentation and thickness measurements are correct. In such cases, the probability maps (also known as deviation maps) show abnormal (red and yellow) regions, which may m
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Supplementary Material for: Choriocapillaris Flow Signal Impairment in Sorsby Fundus Dystrophy
Published on (4 days ago)
ABSTRACT Purpose To quantify choriocapillaris flow alterations in early Sorsby Fundus Dystrophy (SFD) and to investigate the relationship of the choriocapillaris flow deficits with the choroidal and outer retinal microstructure. Methods In this prospective case-control study, 18 eyes of 11 patients with early SFD and 31 eyes of 31 controls without ocular pathology underwent multimodal imaging, including spectral-domain optical coherence tomography (OCT), followed by deep-learning-based layer seg
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Data for: Retinal layer segmentation in rodent OCT images: Local intensity profiles & fully convolutional neural networks
Published on (4 days ago)
Database of rodent OCTs composed of two batches of images. Animal experiment permission was granted by the Danish Animal Experimentation Council (license number: 2017-15-0201-01213). Rat OCT images were taken with the Micron IV equipment (Phoenix Research Labs, Pleasanton, USA). All rats were anesthetized previously to image acquisition. A set of 22 Sprague-Dawley rats were used. The first batch is composed of 129 OCT images and the second one of 115 images (image size: 1024x1024 pixels; resolut
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Utility of standard diffusion-weighted magnetic resonance imaging for the identification of ischemic optic neuropathy in giant cell arteritis
Published on (4 days ago)
Purpose: To assess diffusion abnormalities of the optic nerve (ON) in giant cell arteritis (GCA) patients with acute onset of visual impairment (VI) using diffusion-weighted magnetic resonance imaging (DWI). Methods: DWI scans of GCA patients with acute VI were evaluated in a case-control study. Two blinded neuroradiologists assessed randomized DWI scans of GCA and controls for ON restricted diffusion. Statistical quality criteria and inter-rater reliability (IRR) were calculated. DWI find
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Supplementary Material for: Large Planum Sphenoidale Meningioma in a Patient with Bilateral Optic Disc Pallor
Published on (4 days ago)
Purpose Differentiating non-glaucomatous and glaucomatous etiologies of optic neuropathy clinically can be challenging. We describe a patient with glaucoma and a concurrent planum sphenoidale meningioma to highlight the importance of fundoscopic examination and ancillary diagnostic tests. Despite thinning of the retinal nerve fiber layers (RNFL), tumor resection led to encouraging improvement in postoperative visual field (VF) testing. This suggests that the presence of reasonably preserved nerv
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Supplementary Material for: Large Planum Sphenoidale Meningioma in a Patient with Bilateral Optic Disc Pallor
Published on (4 days ago)
Purpose Differentiating non-glaucomatous and glaucomatous etiologies of optic neuropathy clinically can be challenging. We describe a patient with glaucoma and a concurrent planum sphenoidale meningioma to highlight the importance of fundoscopic examination and ancillary diagnostic tests. Despite thinning of the retinal nerve fiber layers (RNFL), tumor resection led to encouraging improvement in postoperative visual field (VF) testing. This suggests that the presence of reasonably preserved nerv
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SoMNet:Automatic Contouring of Head and Neck Organs at Risk Guided by Boundary Information
Published on (4 days ago)
To enhance the application of radiotherapy planning, we developed a novel head and neck imaging dataset, HND, comprising simulation X-ray computed tomography (CT) images from 486 patients with head and neck cancers who underwent intensity-modulated radiotherapy (IMRT) between February 2019 and June 2024 (Table 1). The inclusion criteria were as follows: (1) the CT scan range must encompass both the head and neck, with the upper boundary extending at least 3 cm above the skull base line and the l
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Retinal fundus images for glaucoma analysis: the RIGA dataset
Published on (4 days ago)
The dataset includes 3 different files: 1) MESSIDOR dataset file contains 460 original images and 460 images for every single ophthalmologist manual marking in total of 3220 images for the entire file. 2) Bin Rushed Ophthalmic center file and contains 195 original images and 195 images for every single ophthalmologist manual marking in total of 1365 images for the entire file. 3) Magrabi Eye center file and contains 95 original images and 95 images for every single ophthalmologist manual marking
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3D OCT Images of Murine Uveitis
Published on (4 days ago)
Images were obtained from the eyes of anaesthetised mice using the Micron IV retinal imaging microscope. Spectral domain optical coherence tomography (OCT) images were obtained as 512 serial B-scans of a volume of tissue centred on the optic nerve head. Prior to imaging the Micron IV was fully calibrated according to the manufacturer’s protocol. Images (512x1024 pixels) with a bit depth of 16 were acquired using PackBits lossless compression. Experimental autoimmune uveitis (EAU) was induced in
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A Fundus Image Dataset for Domain Generalization in Joint Segmentation of Optic Disc and Optic Cup
Published on (4 days ago)
We provide a fundus image dataset for domain generalization, which includes 5 different medical centres. This dataset is based on the REFUGE[1] dataset, Drishti-GS[2] dataset, ORIGA[3] dataset, and RIGA[4] dataset. We appreciate their efforts devoted by the authors of [1-4]. Details of this dataset Domain Cases in Each Domain (Training/Test) REFUGE 320/80 Drishti-GS 50/51 ORIGA 500/150 BinRushed (RIGA) 156/39 Magrabia (RIGA) 76/19 [1] Orlando J I, Fu H, Breda J B, et al. Refuge challenge
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Chákṣu IMAGE: A glaucoma-specific fundus image database
Published on (4 days ago)
Chákṣu : A glaucoma specific fundus i mage database J. R. Harish Kumar, Chandra Sekhar Seelamantula, J. H. Gagan, Yogish S. Kamath, Neetha I. R. Kuzhuppilly, U. Vivekanand, Preeti Gupta, and Shilpa Patil Introduction Glaucoma is a chronic, irreversible, and slowly progressive optic neuropathy that damages the optic nerve. Depending on the extent of damage to the optic nerve, glaucoma can cause moderate to s
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<b>Fundus Image-Based Automatic Segmentation</b>
Published on (4 days ago)
In this study, we formulate the task of retinal disease diagnosis as a supervised multiclass classification problem. The goal is to automatically assign each fundus image to one of four predefined diagnostic categories: HR, DR, papilledema, or normal. This classification is based on quantitative features derived from vessel segmentation maps, including both radiomic descriptors and the AVR. By framing the task in this way, the study aims to develop interpretable and generalizable models that sup
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<b>Fundus Image-Based Automatic Segmentation</b>
Published on (4 days ago)
In this study, we formulate the task of retinal disease diagnosis as a supervised multiclass classification problem. The goal is to automatically assign each fundus image to one of four predefined diagnostic categories: HR, DR, papilledema, or normal. This classification is based on quantitative features derived from vessel segmentation maps, including both radiomic descriptors and the AVR. By framing the task in this way, the study aims to develop interpretable and generalizable models that sup
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The RETA Benchmark for Retinal Vascular Tree Analysis
Published on (4 days ago)
Topological and geometrical analysis of retinal blood vessels could be a cost-effective way to detect various common diseases. Automated vessel segmentation and vascular tree analysis models require powerful generalization capability in clinical applications. In this work, we constructed a novel benchmark RETA with 81 labelled vessel masks aiming to facilitate retinal vessel analysis. A semi-automated coarse-to-fine workflow was proposed for vessel annotation task. During database construction,
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The Leuven-Haifa High-Resolution Fundus Image Dataset for Retinal Blood Vessel Segmentation and Glaucoma Diagnosis
Published on (4 days ago)
The Leuven-Haifa dataset contains 240 disc-centered fundus images of 224 unique patients (75 patients with normal tension glaucoma, 63 patients with high tension glaucoma, 30 patients with other eye diseases and 56 healthy controls) from the University Hospitals of Leuven. The arterioles and venules of these images were both annotated by master students in medicine and corrected by a senior annotator. All corrected segmentations are provided. Diagnosis, age, sex, vascular parameters as well as a
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COph100:A Comprehensive Fundus Image Registration Dataset from Infants constituting the "RIDIRP" database
Published on (4 days ago)
Retinal image registration is vital for diagnostic therapeutic applications within the field of ophthalmology. Existing public datasets, focusing on adult retinal pathologies with high-quality images, have limited number of image pairs and neglect clinical challenges. To address this gap, we introduce COph100, a novel and challenging dataset known as the Comprehensive Ophthalmology Retinal Image Registration dataset for infants with a wide range of image quality issues constituting the public "R
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COph100:A Comprehensive Fundus Image Registration Dataset from Infants constituting the "RIDIRP" database
Published on (4 days ago)
Retinal image registration is vital for diagnostic therapeutic applications within the field of ophthalmology. Existing public datasets, focusing on adult retinal pathologies with high-quality images, have limited number of image pairs and neglect clinical challenges. To address this gap, we introduce COph100, a novel and challenging dataset known as the Comprehensive Ophthalmology Retinal Image Registration dataset for infants with a wide range of image quality issues constituting the public "R
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Automatic optic disc segmentation for edema classification and severity grading
Published on (4 days ago)
Optic disc edema (ODE) is a notable ocular symptom often seen in neuro-ophthalmic illnesses affecting the optic disc (OD). The etiologies underlying ODE are diverse, including a range of symptoms and consequences. The early detection of ODE can mitigate the risk of vision loss and the development of severe ocular disorders. The texture seen in the edematous OD exhibits a notable dissimilarity when compared to the non-edematous OD in retinal images. Consequently, methods usually effective for non
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"Contrast Based Circular Approximation For Accurate And Robust Optic Disc Segmentation In Retinal Images" - Code
Published on (4 days ago)
A new method for automatic optic disc localization and segmentation is presented. The localization procedure combines vascular and brightness information to provide the best estimate of the optic disc center which is the starting point for the segmentation algorithm. A detection rate of 99.58% and 100% was achieved for the Messidor and ONHSD databases, respectively. A simple circular approximation to the optic disc boundary is proposed based on the maximum average contrast between the inner and
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"Contrast Based Circular Approximation For Accurate And Robust Optic Disc Segmentation In Retinal Images" - Code
Published on (4 days ago)
A new method for automatic optic disc localization and segmentation is presented. The localization procedure combines vascular and brightness information to provide the best estimate of the optic disc center which is the starting point for the segmentation algorithm. A detection rate of 99.58% and 100% was achieved for the Messidor and ONHSD databases, respectively. A simple circular approximation to the optic disc boundary is proposed based on the maximum average contrast between the inner and
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Ridge-based vessel segmentation in color images of the retina
Published on (4 days ago)
Ridge-based vessel segmentation in color images of the retina.
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DRIVE and CHASE DB1 datasets
Published on (4 days ago)
Two benchmark datasets for blood vessel segmentation in retinal images
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OD localization using vessel based image orientation independent approaches
Published on (4 days ago)
Automatic Optic Disc (OD) localization is an essential problem in ophthalmic image processing. Knowing its location not only helps doctors with the early detection of sight threatening diseases but provide early diagnostic solutions for patient. With the existing methods, there are limitations on computation time and disorientated image cases. Many algorithms fail to locate the OD if the input image is tilted by a certain degree. This thesis presents two machine learning methods which mainly rel
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Replication data for: Human Foveal Cone and RPE Cell Topographies and Their Correspondence With Foveal Shape
Published on (4 days ago)
DATASET MIGRATED FROM FIGSHARE: <div><div>Abstract</div><p>Purpose: To characterize the association between foveal shape and cone and retinal pigment epithelium (RPE) cell topographies in healthy humans.</p><p>Methods: Multimodal adaptive scanning light ophthalmoscopy and optical coherence tomography (OCT) were used to acquire images of foveal cones, RPE cells, and retinal layers in eyes of 23 healthy participants with normal foveas. Distributions of cone and
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Replication data for: Human Foveal Cone and RPE Cell Topographies and Their Correspondence With Foveal Shape
Published on (4 days ago)
AbstractPurpose: To characterize the association between foveal shape and cone and retinal pigment epithelium (RPE) cell topographies in healthy humans.Methods: Multimodal adaptive scanning light ophthalmoscopy and optical coherence tomography (OCT) were used to acquire images of foveal cones, RPE cells, and retinal layers in eyes of 23 healthy participants with normal foveas. Distributions of cone and RPE cell densities were fitted with nonlinear mixed-effects models. A linear mixed-effects mod
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CHASE_DB1
Published on (4 days ago)
The CHASE_DB1 dataset is a publicly available dataset for retinal vessel segmentation.
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SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation
Published on (4 days ago)
The proposed SA-UNet is evaluated on two publicly available retinal fundus image datasets: DRIVE and CHASE_DB1.
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Retinal Vessel
Published on (4 days ago)
Three real-world public retinal datasets: 1. DRIVE Ref. Ridge-based Vessel Segmentation in Color Images of The Retina (https://drive.grand-challenge.org/Download) 2. STARE Ref. Locating Blood Vessels in Retinal Images by Piecewise Threshold Probing of a Matched Filter Response (https://cecas.clemson.edu/~ahoover/stare) 3. CHASE_DB1 Ref. An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation (https://blogs.kingston.ac.uk/retinal/chasedb1/)
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Retinal blood vessel segmentation(ROP)
Published on (4 days ago)
Retinal blood vessel segmentation(Retinopathy of Prematurity). The data are free only for academic purpose. Any published work which has used the data, please cite the article below: Wang J, Ji J, Zhang M, Lin JW, Zhang G, Gong W, Cen LP, Lu Y, Huang X, Huang D, et al. Automated Explainable Multidimensional Deep Learning Platform of Retinal Images for Retinopathy of Prematurity Screening. JAMA Netw Open, 2021;4(5):e218758. doi:10.1001/jamanetworkopen.
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vessel segmentation
Published on (4 days ago)
The DRIVE dataset, developed by Staal et al. (2004), utilizes the elongated structure of vessel ridges for automatic vessel classification in the Utrecht database. It consists of 40 images (565 × 584 pixels) in JPEG format, captured at a 45° field of view, divided into 20 training and 20 testing images. The CHASEDB1 dataset employs multiscale Gabor filtering and morphological transformations, comprising 28 images related to cardiovascular health from 14 students of various ethnicities, with
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VETO: Vessel topology manual annotation dataset
Published on (4 days ago)
We have labeled the vessel topology on four public-available retinal datasets: INSPIRE [1]VICAVR [2]IOSTAR [3]DRIVE [4]Two experts were asked to manually label the topological information of the retinal vascular structure by using a graph editing software we developed for this task. Expert one and two independently labeled each vessel segment or centerline for all datasets, based on the types of available manual annotations of the vessel structure. Then the consensus between them was released f
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Retinal blood vessel segmentation(ROP)
Published on (4 days ago)
Retinal blood vessel segmentation(Retinopathy of Prematurity).
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Optic disc segmentation applied to retinal images with glaucoma, diabetic retinopathy, and optic disc edema
Published on (4 days ago)
Precise detection of the optic disc (OD) is an important task in the diagnosis of several eye diseases. To manage the massive visual-impaired population, there is a huge demand for efficient and remote retinal imaging techniques that can visualize the health of the retina. In this regard, the use of handheld mobile cameras attached to a smartphone is a promising approach. With the advancement in retinal lens technology, a smartphone could offer a low-cost imaging system alternative to standard e
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PRIME-FP20: Ultra-Widefield Fundus Photography Vessel Segmentation Dataset
Published on (4 days ago)
PRIME-FP20 dataset is established for development and evaluation of retinal vessel segmentation algorithms in ultra-widefield fundus photography. PRIME-FP20 provides 15 high-resolution ultra-widefield fundus photography images acquired using the Optos 200Tx camera (Optos plc, Dunfermline, United Kingdom), the corresponding labeled binary vessel maps, and the corresponding binary masks for the FOV of the images.
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The RETA Benchmark for Retinal Vascular Tree Analysis
Published on (4 days ago)
Topological and geometrical analysis of retinal blood vessels could be a cost-effective way to detect various common diseases. Automated vessel segmentation and vascular tree analysis models require powerful generalization capability in clinical applications. In this work, we constructed a novel benchmark RETA with 81 labelled vessel masks aiming to facilitate retinal vessel analysis. A semi-automated coarse-to-fine workflow was proposed for vessel annotation task. During database construction,
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fundus-dataset.zip
Published on (4 days ago)
We retrieved 26 different categories of 1500 true colour fundus images in 24-bit RGB format from 8 open access databases, namely: - STARE – STructured Analysis of the Retina- DRIVE – Digital Retinal Images for Vessel Extraction- Messidor (base11) – Methods to Evaluate Segmentation and Indexing Techniques in the field of Retinal Ophthalmology- Kaggle – 1000 Fundus Images- Kaggle – Glaucoma Detection- DRHAGIS – Diabetic Retinopathy, Hypertension, Age-related macular degeneration, and Glaucoma I
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OCTA-500
Published on (4 days ago)
Optical coherence tomography angiography (OCTA) is a novel imaging modality that allows a micron-level resolution to present the three-dimensional structure of the retinal vascular.We propose a new multi-modality dataset, dubbed OCTA-500. It contains 500 subjects with 2 field of view (FOV) types, including OCT and OCTA volumes, 6 types of projections, 4 types of text labels and 2 types of pixel-level labels. This dataset contains more than 360K images with a size of about 80GB. Related Papers:-M
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Ocular Image Dataset for Eye Disease Classification and Screening Research
Published on (4 days ago)
Dataset Overview This dataset is designed for eye disease classification and research purposes. It contains labeled ocular images representing five clinically relevant categories: Cataract, Conjunctivitis, Eyelid Disorders, Uveitis, and Normal (healthy eyes). The dataset aims to support research in computer aided diagnosis, medical image analysis, and artificial intelligence based ophthalmic applications. It is suitable for academic research, algorithm development, benchmarking, and educational
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Blood Vessels Dataset Obtained From Retina Images Of Healthy And Diabetic Retinopathy Individual
Published on (4 days ago)
This dataset contains blood vessels image files extracted from publicly available fundus retina images
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Blood Vessels Dataset Obtained From Retina Images Of Healthy And Diabetic Retinopathy Individual
Published on (4 days ago)
This dataset contains blood vessels image files extracted from publicly available fundus retina images
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Optic disk detection and segmentation approaches based on vessel network
Published on (4 days ago)
Precise localization of the optic disk (OD) in retinal images is one of the challenges in ophthalmic image processing. Although many efforts have been made towards finding automated numerical solutions, they often fail on retinal images characterized by poor quality. Therefore, we introduce three novel methods namely, Vessel Transform (VT), Vessel Vector based Phase Portrait Analysis (VVPPA), and Hybrid Approach (HA) for automatic detection of the OD based primarily on retinal blood vessels. To
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Optic disk localization and segmentation in retinal images using vessel based feature projection approaches and active contour model
Published on (4 days ago)
Detection of an optic disk (OD) is crucial in the analysis of abnormality conditions such as optic disk shrinking/swelling, pale optic disk, having exudates and hemorrhages in the retinal images. In addition, it is very useful for ophthalmologists in finding the diagnosis of glaucoma and other neuropathies. This thesis presents two efficient methods for OD detection.Firstly, we develop an automated OD localization and segmentation technique. OD localization is implemented by applying the extende
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Foveal cone photoreceptor outer segment length and cone density
Published on (4 days ago)
Data sets used in Domdei et al., 2023 - Cone density is correlated to outer segment length and retinal thickness in the human foveola. Folder contain two .mat files: (1) AOSLO derived foveolar cone density map with annotations (2) OCT derived foveal B-Scans with band segmentations for ILM, Band2, Band3, RPE
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The human fovea is relatively horizontally elongated in infantile nystagmus
Published on (4 days ago)
Numerical data associated with the manuscript, MATLAB code to identify the deepest foveal scan from a stack of foveal OCT images, and OCT images of the deepest scans from study participants.
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The human fovea is relatively horizontally elongated in infantile nystagmus
Published on (4 days ago)
MATLAB code to identify the deepest foveal scan from a stack of foveal OCT images, and OCT images of the deepest scans from study participants.
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Ablation study results on CHASE_DB1 dataset.
Published on (4 days ago)
Ablation study results on CHASE_DB1 dataset.
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Doppler Holography Measurements of the Eye Fundus in a Volunteer – May 27, 2025
Published on (4 days ago)
Raw interferometric data (.holo files) were acquired at 37 kHz using a real-time Doppler holography prototype. The system enabled dynamic and quantitative retinal angiography of the fundus in both eyes of a volunteer. Imaging was conducted under near-infrared illumination at 852 nm, with an incident optical power of 5 mW on the eye, in accordance with ocular safety standards (ISO 15004-2:2024 Ophthalmic instruments - Fundamental requirements and test methods). Image rendering and analysis softwa
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Doppler Holography Measurements of the Eye Fundus in a Volunteer – May 27, 2025
Published on (4 days ago)
Raw interferometric data (.holo files) were acquired at 37 kHz using a real-time Doppler holography prototype. The system enabled dynamic and quantitative retinal angiography of the fundus in both eyes of a volunteer. Imaging was conducted under near-infrared illumination at 852 nm, with an incident optical power of 5 mW on the eye, in accordance with ocular safety standards (ISO 15004-2:2024 Ophthalmic instruments - Fundamental requirements and test methods). Image rendering and analysis softwa
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Can Foveal Avascular Zone (FAZ) Assessment By OCT Angiography, Used For Grading Of Diabetic Retinopathy?
Published on (4 days ago)
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dataset
Published on (4 days ago)
This repository contains the datasets used for training and evaluating Models 1, 2, and 3 in our study on estimating the Foveal Avascular Zone (FAZ) area from OCT B-scan images using machine learning algorithms. Model 1 DatasetObjectiveTo predict the FAZ length from OCT B-scan images using machine learning.Data DetailsImagesTotal of 1,146 OCT B-scan images.Image size: 128 × 128 pixels.Each image is a B-scan slice centered on the fovea.Images are named sequentially (e.g., "1.bmp", "2.bmp",
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Foveal cone photoreceptor outer segment length and cone density
Published on (4 days ago)
Data sets used in Domdei et al., 2023 - Cone density is correlated to outer segment length and retinal thickness in the human foveola. Folder contain two .mat files: (1) AOSLO derived foveolar cone density map with annotations (2) OCT derived foveal B-Scans with band segmentations for ILM, Band2, Band3, RPE
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Supplementary Material for: Association between ectopic inner foveal layer on optical coherence tomography and postoperative quantitative metamorphopsia in patients undergoing epiretinal membrane surg
Published on (4 days ago)
Purpose: Epiretinal membrane (ERM) is a condition that can lead to visual impairment and meta-morphopsia. This study aimed to examine the correlation between metamorphopsia and foveal mi-crostructure before and after macular surgery in a cohort of patients with advanced ERM. Methods: The severity of metamorphopsia was quantified using M-CHARTS, and foveal micro-structure was evaluated via two optical coherence tomography (OCT) measures: central foveal thickness (CFT) and ectopic inner foveal la
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Choroidal thickness measurement in healthy pediatric population using Cirrus HD optical coherence tomography
Published on (4 days ago)
Purpose: To investigate the association between central choroidal thickness (CT), axial length (AL), age, gender, and refractive error in a healthy pediatric population using optical coherence tomography (OCT). Methods: This institutional study involved 137 healthy children (57 boys, 80 girls) aged between 4 and 18 years. Each child underwent a dilated eye examination, cycloplegic refraction, and AL measurement using a Nidek AL-Scan optical biometer. The central foveal thickness (CFT) and CT wer
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Choroidal thickness measurement in healthy pediatric population using Cirrus HD optical coherence tomography
Published on (4 days ago)
Purpose: To investigate the association between central choroidal thickness (CT), axial length (AL), age, gender, and refractive error in a healthy pediatric population using optical coherence tomography (OCT). Methods: This institutional study involved 137 healthy children (57 boys, 80 girls) aged between 4 and 18 years. Each child underwent a dilated eye examination, cycloplegic refraction, and AL measurement using a Nidek AL-Scan optical biometer. The central foveal thickness (CFT) and CT wer
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Supplementary Material for: Electrophysiological Monitoring of Focal and Entire Retinal Function during Treatment with Intravitreal Methotrexate for Intraocular Lymphoma
Published on (4 days ago)
We describe the electroretinographic findings of a case of primary intraocular lymphoma (PIOL) wherein the patient received intravitreal injections of methotrexate (ivMTX). A 62-year-old man developed blurred vision and complained of decreased visual acuity (VA) in his right eye. Fundus examination showed vitreous opacity and multiple subretinal yellowish lesions. Optical coherence tomography (OCT) revealed subretinal and intraretinal infiltrations. The full-field electroretinogram (ffERG) showe
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dataset
Published on (4 days ago)
This repository contains the datasets used for training and evaluating Models 1, 2, and 3 in our study on estimating the Foveal Avascular Zone (FAZ) area from OCT B-scan images using machine learning algorithms. Model 1 DatasetObjectiveTo predict the FAZ length from OCT B-scan images using machine learning.Data DetailsImagesTotal of 1,146 OCT B-scan images.Image size: 128 × 128 pixels.Each image is a B-scan slice centered on the fovea.Images are named sequentially (e.g., "1.bmp", "2.bmp",
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Ablation study results on STARE dataset.
Published on (4 days ago)
Ablation study results on STARE dataset.
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Performance comparison of different segmentation methods on the CHASE_DB1 dataset.
Published on (4 days ago)
Performance comparison of different segmentation methods on the CHASE_DB1 dataset.
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Performance comparison of different segmentation methods on the STARE dataset.
Published on (4 days ago)
Performance comparison of different segmentation methods on the STARE dataset.
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Performance comparison of different segmentation methods on the DRIVE dataset.
Published on (4 days ago)
Performance comparison of different segmentation methods on the DRIVE dataset.
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The specific information of DRIVE, STARE and CHASE_DB1 datasets.
Published on (4 days ago)
The specific information of DRIVE, STARE and CHASE_DB1 datasets.
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<p>Performance comparison of different deep learning models for retinal disease classification.</p>
Published on (4 days ago)
Performance comparison of different deep learning models for retinal disease classification.
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<p>Summary of key literature on AI-based retinal disease diagnosis.</p>
Published on (4 days ago)
Summary of key literature on AI-based retinal disease diagnosis.
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Repeatability and reproducibility of automatic segmentation of retinal layers in healthy subjects using Spectralis optical coherence tomography
Published on (4 days ago)
ABSTRACT Purpose: To evaluate the repeatability and reproducibility of automatic segmentation in healthy subjects using a Spectralis optical coherence tomography (OCT) system. Methods: A total of 60 eyes from 60 patients were included in this prospective study. Spectral-domain optical coherence tomography images were generated using the Spectralis OCT system. An automated algorithm was used to segment the macular retina into nine layers and evaluate the thickness of each layer in the foveal, inn
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Repeatability and reproducibility of automatic segmentation of retinal layers in healthy subjects using Spectralis optical coherence tomography
Published on (4 days ago)
ABSTRACT Purpose: To evaluate the repeatability and reproducibility of automatic segmentation in healthy subjects using a Spectralis optical coherence tomography (OCT) system. Methods: A total of 60 eyes from 60 patients were included in this prospective study. Spectral-domain optical coherence tomography images were generated using the Spectralis OCT system. An automated algorithm was used to segment the macular retina into nine layers and evaluate the thickness of each layer in the foveal, inn
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Supplementary Material for: Electrophysiological Monitoring of Focal and Entire Retinal Function during Treatment with Intravitreal Methotrexate for Intraocular Lymphoma
Published on (4 days ago)
We describe the electroretinographic findings of a case of primary intraocular lymphoma (PIOL) wherein the patient received intravitreal injections of methotrexate (ivMTX). A 62-year-old man developed blurred vision and complained of decreased visual acuity (VA) in his right eye. Fundus examination showed vitreous opacity and multiple subretinal yellowish lesions. Optical coherence tomography (OCT) revealed subretinal and intraretinal infiltrations. The full-field electroretinogram (ffERG) showe
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Swept-source optical coherence tomography findings in premature children with a history of retinopathy of prematurity at 5 years of age
Published on (4 days ago)
ABSTRACT Purpose: To compare central foveal thickness, retinal nerve fiber layer thickness, and subfoveal choroidal thickness using swept-source optical coherence tomography in premature children with a history of treated retinopathy of prematurity (either with intravitreal bevacizumab or laser photocoagulation) or spontaneously regressed retinopathy of prematurity versus age-matched healthy children at the age of 5 years. Methods: A total of 79 children were divided into four groups: group 1, c
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Swept-source optical coherence tomography findings in premature children with a history of retinopathy of prematurity at 5 years of age
Published on (4 days ago)
ABSTRACT Purpose: To compare central foveal thickness, retinal nerve fiber layer thickness, and subfoveal choroidal thickness using swept-source optical coherence tomography in premature children with a history of treated retinopathy of prematurity (either with intravitreal bevacizumab or laser photocoagulation) or spontaneously regressed retinopathy of prematurity versus age-matched healthy children at the age of 5 years. Methods: A total of 79 children were divided into four groups: group 1, c
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Supplementary Material for: Subfoveal Choroidal and Macular Thickness Changes after Phacoemulsification Using Enhanced Depth Imaging Optical Coherence Tomography
Published on (4 days ago)
Purpose: To assess changes in the thickness of the subfoveal retina and choroid after phacoemulsification using enhanced depth imaging optical coherence tomography (EDI-OCT). Methods: A prospective study was conducted on 100 patients. The subfoveal choroidal thickness (SFCT) was measured at 7 points and the retinal thickness was measured at 5 points (before surgery, and 1 day, 1 week, 1 month, and 3 months after surgery). Results: The foveal choroidal th
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Supplementary Material for: Subfoveal Choroidal and Macular Thickness Changes after Phacoemulsification Using Enhanced Depth Imaging Optical Coherence Tomography
Published on (4 days ago)
Purpose: To assess changes in the thickness of the subfoveal retina and choroid after phacoemulsification using enhanced depth imaging optical coherence tomography (EDI-OCT). Methods: A prospective study was conducted on 100 patients. The subfoveal choroidal thickness (SFCT) was measured at 7 points and the retinal thickness was measured at 5 points (before surgery, and 1 day, 1 week, 1 month, and 3 months after surgery). Results: The foveal choroidal th
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Choroidal thickness variation in highly myopic eyes during the water drinking test
Published on (4 days ago)
ABSTRACT Purpose: To evaluate variations in choroidal thickness (CT) during the water drinking test (WDT) in emmetropic eyes (EE) and highly myopic eyes (ME) using spectral-domain optical coherence tomography (SD-OCT). Methods: Clinical trial performed at a tertiary care hospital comprising 30 randomly selected eyes. The WDT and SD-OCT macular scans were performed 10 and 45 min after water ingestion in 15 myopic and 15 EE of 15 healthy patients in each group. Primary study outcomes were average
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Choroidal thickness variation in highly myopic eyes during the water drinking test
Published on (4 days ago)
ABSTRACT Purpose: To evaluate variations in choroidal thickness (CT) during the water drinking test (WDT) in emmetropic eyes (EE) and highly myopic eyes (ME) using spectral-domain optical coherence tomography (SD-OCT). Methods: Clinical trial performed at a tertiary care hospital comprising 30 randomly selected eyes. The WDT and SD-OCT macular scans were performed 10 and 45 min after water ingestion in 15 myopic and 15 EE of 15 healthy patients in each group. Primary study outcomes were average
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Is there a relationship between outer retinal destruction and choroidal changes in cone dystrophy?
Published on (4 days ago)
ABSTRACT Purpose: The aim of the present study was to use enhanced depth imaging optical coherence tomography (EDI-OCT) to investigate choroidal changes in patients with cone dystrophy (CD) and to correlate these findings with clinical and electroretinography (ERG) findings. Methods: This case-control study included 40 eyes of 20 patients with CD and 40 eyes of 40 age- and refraction-matched healthy individuals. Choroidal thickness (CT) measurements were obtained under the foveal center and at 5
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Is there a relationship between outer retinal destruction and choroidal changes in cone dystrophy?
Published on (4 days ago)
ABSTRACT Purpose: The aim of the present study was to use enhanced depth imaging optical coherence tomography (EDI-OCT) to investigate choroidal changes in patients with cone dystrophy (CD) and to correlate these findings with clinical and electroretinography (ERG) findings. Methods: This case-control study included 40 eyes of 20 patients with CD and 40 eyes of 40 age- and refraction-matched healthy individuals. Choroidal thickness (CT) measurements were obtained under the foveal center and at 5
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Dual-Input Neural Networks for Personalized Image Precompensation
Published on (4 days ago)
This dataset supports the paper "Dual-Input Neural Networks for Personalized Image Precompensation" (J. Imaging, 2025).It includes color images and point spread functions (PSFs) used to train and evaluate deep neural networks that compensate for human visual distortions caused by refractive errors. 📂 Dataset structure: train/ 1000 color images from ImageNet-21k (resized to 512×512) PSFs from three categories: narrow, medium, and broad test/ 735 color test images from th
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Dual-Input Neural Networks for Personalized Image Precompensation
Published on (4 days ago)
This dataset supports the paper "Dual-Input Neural Networks for Personalized Image Precompensation" (J. Imaging, 2025).It includes color images and point spread functions (PSFs) used to train and evaluate deep neural networks that compensate for human visual distortions caused by refractive errors. 📂 Dataset structure: train/ 1000 color images from ImageNet-21k (resized to 512×512) PSFs from three categories: narrow, medium, and broad test/ 735 color test images from th
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Supplementary Material for: Spontaneous Resolution of Macular Edema with Abnormal Vessel Crossing near the Central Macula by Congenital Retinal Macrovessel
Published on (4 days ago)
We present a case of a congenital retinal macrovessel (CRM) with spontaneous resolution of cystoid macular edema. A 39-year-old woman with sudden decreased vision in her right eye was referred to our clinic and found to have a CRM with macular edema. Her visual acuity was 20/25. A week later, the macular edema disappeared without any treatment, and her visual acuity was 20/15. We performed optical coherence tomography angiography and fluorescein angiography (FA), which revealed no obstruction of
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A Multi-center, Single-arm, Interventional Phase 4 Study to Evaluate a Treat and Extend Regimen of Intravitreal Aflibercept for Treatment of Macular Edema Secondary to Central Retinal Vein Occlusion
Published on (4 days ago)
Central retinal vein occlusion (CRVO) occurs when the main blood vessel that transports blood away from the retina (the very back portion of the eye) becomes blocked, causing the leakage of fluid into the retina and thereby causing a swelling of the macula (the portion of the retina responsible for fine vision). This swelling is called macular edema. When the macula swells with fluid, central vision becomes blurry. The study drug aflibercept has been shown to reduce the amount of fluid and
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Supplementary Material for: Spontaneous Resolution of Macular Edema with Abnormal Vessel Crossing near the Central Macula by Congenital Retinal Macrovessel
Published on (4 days ago)
We present a case of a congenital retinal macrovessel (CRM) with spontaneous resolution of cystoid macular edema. A 39-year-old woman with sudden decreased vision in her right eye was referred to our clinic and found to have a CRM with macular edema. Her visual acuity was 20/25. A week later, the macular edema disappeared without any treatment, and her visual acuity was 20/15. We performed optical coherence tomography angiography and fluorescein angiography (FA), which revealed no obstruction of
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Supplementary Material for: Intraoperative Optical Coherence Tomography-Assisted 27-Gauge Vitrectomy in Eyes with Vitreoretinal Diseases
Published on (4 days ago)
Objective: To report intraoperative optical coherence tomography (iOCT)-assisted 27-gauge microincision vitrectomy surgery (MIVS) in eyes with vitreoretinal disease. Methods: A retrospective, interventional case series performed at a single center, including 6 eyes with retinal disease that underwent iOCT-assisted 27-gauge MIVS. Results: The advantages of iOCT were most notable when it was used to evaluate, in real time, different macular areas: the pre-
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Benign familial fleck retina: multimodal imaging including optical coherence tomography angiography
Published on (4 days ago)
ABSTRACT This report presents multimodal imaging of a 27-year-old woman diagnosed with benign familial fleck retina (OMIM 228980), an uncommon disorder. Fundus photographs revealed retinal flecks that affected her post-equatorial retina but spared the macular area. Fundus autofluorescence and infrared imaging demonstrated a symmetrical pattern of yellow-white fleck lesions that affected both eyes. Her full-field electroretinogram and electrooculogram were normal. An optical coherence tomography
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Benign familial fleck retina: multimodal imaging including optical coherence tomography angiography
Published on (4 days ago)
ABSTRACT This report presents multimodal imaging of a 27-year-old woman diagnosed with benign familial fleck retina (OMIM 228980), an uncommon disorder. Fundus photographs revealed retinal flecks that affected her post-equatorial retina but spared the macular area. Fundus autofluorescence and infrared imaging demonstrated a symmetrical pattern of yellow-white fleck lesions that affected both eyes. Her full-field electroretinogram and electrooculogram were normal. An optical coherence tomography
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Optical coherence tomography angiography artifactual choroidal neovascularization in optic disc pit maculopathy
Published on (4 days ago)
ABSTRACT This case report describes a 19-year-old Caucasian man presented with decreased visual acuity in the right eye for 3 months. Dilated funds exam revealed optic disk pit associated with serous macular detachment. Optical coherence tomography identified communication between the optic disk pit and the macular serous detachment, and optical coherence tomography angiography displayed a subfoveal area suggestive of subfoveal choroidal neovascularization. However, there was no evidence of leak
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Optical coherence tomography angiography artifactual choroidal neovascularization in optic disc pit maculopathy
Published on (4 days ago)
ABSTRACT This case report describes a 19-year-old Caucasian man presented with decreased visual acuity in the right eye for 3 months. Dilated funds exam revealed optic disk pit associated with serous macular detachment. Optical coherence tomography identified communication between the optic disk pit and the macular serous detachment, and optical coherence tomography angiography displayed a subfoveal area suggestive of subfoveal choroidal neovascularization. However, there was no evidence of leak
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Evaluation of posterior ocular changes using enhanced depth imaging-optical coherence tomography in patients with obstructive sleep apnea syndrome
Published on (4 days ago)
ABSTRACT Purpose: Evaluation of the nerve fiber thicknesses of the macula, choroid, and retina using the apnea-hypopnea index in individuals with obstructive sleep apnea syndrome (OSAS) without systemic components. Methods: Prospective, controlled study. The central macular, choroidal, and retinal nerve fiber layer (RNFL) thicknesses were evaluated using enhanced depth imaging-spectral domain optical coherence tomography in individuals with OSAS. In people with severe OSAS who had received treat
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Evaluation of posterior ocular changes using enhanced depth imaging-optical coherence tomography in patients with obstructive sleep apnea syndrome
Published on (4 days ago)
ABSTRACT Purpose: Evaluation of the nerve fiber thicknesses of the macula, choroid, and retina using the apnea-hypopnea index in individuals with obstructive sleep apnea syndrome (OSAS) without systemic components. Methods: Prospective, controlled study. The central macular, choroidal, and retinal nerve fiber layer (RNFL) thicknesses were evaluated using enhanced depth imaging-spectral domain optical coherence tomography in individuals with OSAS. In people with severe OSAS who had received treat
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Evaluation of fundus autofluorescence ımaging of diabetic patients without retinopathy
Published on (4 days ago)
ABSTRACT Purpose: To evaluate the usefulness of fundus autofluorescence imaging of diabetic patients without retinopathy to investigate early retinal damage. Methods: Fundus autofluorescence images of patients with type 2 diabetes mellitus without retinopathy (diabetic group) and age-sex matched healthy patients (control group) were recorded with a CX-1 digital mydriatic retinal camera after detailed ophthalmologic examinations. MATLAB 2013a software was used to measure the average pixel intensi
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Associations between OCT parameters and neurodegenerative diseases.
Published on (4 days ago)
Associations between OCT parameters and neurodegenerative diseases.
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Evaluation of fundus autofluorescence ımaging of diabetic patients without retinopathy
Published on (4 days ago)
ABSTRACT Purpose: To evaluate the usefulness of fundus autofluorescence imaging of diabetic patients without retinopathy to investigate early retinal damage. Methods: Fundus autofluorescence images of patients with type 2 diabetes mellitus without retinopathy (diabetic group) and age-sex matched healthy patients (control group) were recorded with a CX-1 digital mydriatic retinal camera after detailed ophthalmologic examinations. MATLAB 2013a software was used to measure the average pixel intensi
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CTI Dataset
Published on (4 days ago)
Tri-Modal Imaging (CTI) dataset, an anonymized, multimodal, and annotated collection of medical images from Beijing Tongren Hospital (2013-2019) encompassing Fluorescence Angiography (FA), Indocyanine Green Angiography (ICGA), and Ocular Ultrasound (US) images. The construction of this dataset was approved by the Ethics Committee of Beijing Tongren Hospital. The CTI dataset includes images from patients diagnosed with benign hemangioma, secondary metastatic carcinoma to the eye, or primary choro
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Imaging the retinal and choroidal vasculature using Spatio-Temporal Optical Coherence Tomography (STOC-T)
Published on (4 days ago)
Spatio-Temporal Optical Coherence Tomography (STOC-T) is a novel imaging technique using light with controlled spatial and temporal coherence. Retinal images obtained using the STOC-T system maintain high resolution in all three dimensions, on a sample of about 700 μm, without the need for mechanical scanning. In the present work, we use known data processing algorithms for optical coherence tomography angiography (OCTA) and modify them to improve the rendering of the vasculature in the human re
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CTI Dataset
Published on (4 days ago)
Tri-Modal Imaging (CTI) dataset, an anonymized, multimodal, and annotated collection of medical images from Beijing Tongren Hospital (2013-2019) encompassing Fluorescence Angiography (FA), Indocyanine Green Angiography (ICGA), and Ocular Ultrasound (US) images. The construction of this dataset was approved by the Ethics Committee of Beijing Tongren Hospital. The CTI dataset includes images from patients diagnosed with benign hemangioma, secondary metastatic carcinoma to the eye, or primary choro
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Fundus dataset of MCTN
Published on (4 days ago)
classified, dataset of Myopia, Choroidal Neovascularization, Tessellation, Normal fundus Images
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Ocular blood flow and choroidal thickness changes after carotid artery stenting
Published on (4 days ago)
ABSTRACT Purposes: To evaluate changes in ocular blood flow and subfoveal choroidal thickness in patients with symptomatic carotid artery stenosis after carotid artery stenting. Methods: We included 15 men (mean age, 63.6 ± 9.1 years) with symptomatic carotid artery stenosis and 18 healthy volunteers (all men; mean age, 63.7 ± 5.3 years). All participants underwent detailed ophthalmologic examinations including choroidal thickness measurement using enhanced depth-imaging optic coherence tomograp
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Fundus dataset of MCTN
Published on (4 days ago)
classified, dataset of Myopia, Choroidal Neovascularization, Tessellation, Normal fundus Images
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CTI Dataset
Published on (4 days ago)
Tri-Modal Imaging (CTI) dataset, an anonymized, multimodal, and annotated collection of medical images from Beijing Tongren Hospital (2013-2019) encompassing Fluorescence Angiography (FA), Indocyanine Green Angiography (ICGA), and Ocular Ultrasound (US) images. The construction of this dataset was approved by the Ethics Committee of Beijing Tongren Hospital. The CTI dataset includes images from patients diagnosed with benign hemangioma, secondary metastatic carcinoma to the eye, or primary choro
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Imaging the retinal and choroidal vasculature using Spatio-Temporal Optical Coherence Tomography (STOC-T)
Published on (4 days ago)
Spatio-Temporal Optical Coherence Tomography (STOC-T) is a novel imaging technique using light with controlled spatial and temporal coherence. Retinal images obtained using the STOC-T system maintain high resolution in all three dimensions, on a sample of about 700 μm, without the need for mechanical scanning. In the present work, we use known data processing algorithms for optical coherence tomography angiography (OCTA) and modify them to improve the rendering of the vasculature in the human re
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Choroidal thickness changes in post-COVID-19 cases
Published on (4 days ago)
ABSTRACT Purpose: The current study aimed to evaluate the effects of the coronavirus disease 2019 (COVID-19) on choroidal thickness using enhanced depth imaging optical coherence tomography. Methods: This study evaluated the right eyes from 41 post-COVID-19 cases (Group 1) and 41 healthy subjects (Group 2). Choroidal thickness was measured using enhanced depth imaging optical coherence tomography. Post-COVID-19 cases were evaluated within 1 month after a diagnosis of COVID-19. Two experienced op
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Choroidal thickness changes in post-COVID-19 cases
Published on (4 days ago)
ABSTRACT Purpose: The current study aimed to evaluate the effects of the coronavirus disease 2019 (COVID-19) on choroidal thickness using enhanced depth imaging optical coherence tomography. Methods: This study evaluated the right eyes from 41 post-COVID-19 cases (Group 1) and 41 healthy subjects (Group 2). Choroidal thickness was measured using enhanced depth imaging optical coherence tomography. Post-COVID-19 cases were evaluated within 1 month after a diagnosis of COVID-19. Two experienced op
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Ocular Image Dataset for Eye Disease Classification and Screening Research
Published on (4 days ago)
Dataset Overview This dataset is designed for eye disease classification and research purposes. It contains labeled ocular images representing five clinically relevant categories: Cataract, Conjunctivitis, Eyelid Disorders, Uveitis, and Normal (healthy eyes). The dataset aims to support research in computer aided diagnosis, medical image analysis, and artificial intelligence based ophthalmic applications. It is suitable for academic research, algorithm development, benchmarking, and educational
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Ocular Image Dataset for Eye Disease Classification and Screening Research
Published on (4 days ago)
Dataset Overview This dataset is designed for eye disease classification and research purposes. It contains labeled ocular images representing five clinically relevant categories: Cataract, Conjunctivitis, Eyelid Disorders, Uveitis, and Normal (healthy eyes). The dataset aims to support research in computer aided diagnosis, medical image analysis, and artificial intelligence based ophthalmic applications. It is suitable for academic research, algorithm development, benchmarking, and educational
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Supplementary Material for: Analysis of microvascular abnormalities in obesity: a comparative study with healthy subjects using swept source optical coherence tomography angiography and adaptive optic
Published on (4 days ago)
PURPOSE: To analyze retinal microvasculature in obese subjects as compared to a normal-weight population. METHODS: In this case-control observational study, swept-source optical coherence tomography angiography (SS-OCTA) and adaptive optics (AO) were performed in eyes of non-diabetic, non-hypertensive, obese patients and in healthy controls. AO was used to calculate the wall-to-lumen ratio (WLR). The foveal avascular zone (FAZ), the macular vessel density (VD) and the macular perfusion density o
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Supplementary Material for: Analysis of microvascular abnormalities in obesity: a comparative study with healthy subjects using swept source optical coherence tomography angiography and adaptive optic
Published on (4 days ago)
PURPOSE: To analyze retinal microvasculature in obese subjects as compared to a normal-weight population. METHODS: In this case-control observational study, swept-source optical coherence tomography angiography (SS-OCTA) and adaptive optics (AO) were performed in eyes of non-diabetic, non-hypertensive, obese patients and in healthy controls. AO was used to calculate the wall-to-lumen ratio (WLR). The foveal avascular zone (FAZ), the macular vessel density (VD) and the macular perfusion density o
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Choroidal thickness changes in post-COVID-19 cases
Published on (4 days ago)
ABSTRACT Purpose: The current study aimed to evaluate the effects of the coronavirus disease 2019 (COVID-19) on choroidal thickness using enhanced depth imaging optical coherence tomography. Methods: This study evaluated the right eyes from 41 post-COVID-19 cases (Group 1) and 41 healthy subjects (Group 2). Choroidal thickness was measured using enhanced depth imaging optical coherence tomography. Post-COVID-19 cases were evaluated within 1 month after a diagnosis of COVID-19. Two experienced op
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Choroidal thickness changes in post-COVID-19 cases
Published on (4 days ago)
ABSTRACT Purpose: The current study aimed to evaluate the effects of the coronavirus disease 2019 (COVID-19) on choroidal thickness using enhanced depth imaging optical coherence tomography. Methods: This study evaluated the right eyes from 41 post-COVID-19 cases (Group 1) and 41 healthy subjects (Group 2). Choroidal thickness was measured using enhanced depth imaging optical coherence tomography. Post-COVID-19 cases were evaluated within 1 month after a diagnosis of COVID-19. Two experienced op
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Subfoveal choroidal thickness changes after intravitreal bevacizumab therapy for central serous chorioretinopathy
Published on (4 days ago)
ABSTRACT Purpose: To evaluate subfoveal choroidal thickness (SFCT) changes after intravitreal bevacizumab (IVB) therapy for central serous chorioretinopathy (CSC) using enhanced depth imaging spectral-domain optical coherence tomography (EDI-OCT). Methods: In this retrospective study, we assessed the medical records of patients with CSC who received IVB (IVB group) or who were observed without intervention (control group). SFCT was measured using EDI-OCT. The main outcome measure was the change
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Subfoveal choroidal thickness changes after intravitreal bevacizumab therapy for central serous chorioretinopathy
Published on (4 days ago)
ABSTRACT Purpose: To evaluate subfoveal choroidal thickness (SFCT) changes after intravitreal bevacizumab (IVB) therapy for central serous chorioretinopathy (CSC) using enhanced depth imaging spectral-domain optical coherence tomography (EDI-OCT). Methods: In this retrospective study, we assessed the medical records of patients with CSC who received IVB (IVB group) or who were observed without intervention (control group). SFCT was measured using EDI-OCT. The main outcome measure was the change
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Ocular blood flow and choroidal thickness changes after carotid artery stenting
Published on (4 days ago)
ABSTRACT Purposes: To evaluate changes in ocular blood flow and subfoveal choroidal thickness in patients with symptomatic carotid artery stenosis after carotid artery stenting. Methods: We included 15 men (mean age, 63.6 ± 9.1 years) with symptomatic carotid artery stenosis and 18 healthy volunteers (all men; mean age, 63.7 ± 5.3 years). All participants underwent detailed ophthalmologic examinations including choroidal thickness measurement using enhanced depth-imaging optic coherence tomograp
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Comparisons of choroidal nevus measurements obtained using 10- and 20-MHz ultrasound and spectral domain optical coherence tomography
Published on (4 days ago)
ABSTRACT Purpose: To compare measurements of lesions clinically diagnosed as choroidal nevi using spectral domain optical coherence tomography (SD-OCT) and 10- and 20-MHz ultrasound (US). Methods: This prospective study, which was conducted between May 2011 and December 2011, evaluated eyes diagnosed with choroidal nevus via photographic documentation using 10- or 20-MHz A- and B-mode US (experienced examiner using both the transpalpebral technique and direct contact) or SD-OCT in the enhanced d
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Comparisons of choroidal nevus measurements obtained using 10- and 20-MHz ultrasound and spectral domain optical coherence tomography
Published on (4 days ago)
ABSTRACT Purpose: To compare measurements of lesions clinically diagnosed as choroidal nevi using spectral domain optical coherence tomography (SD-OCT) and 10- and 20-MHz ultrasound (US). Methods: This prospective study, which was conducted between May 2011 and December 2011, evaluated eyes diagnosed with choroidal nevus via photographic documentation using 10- or 20-MHz A- and B-mode US (experienced examiner using both the transpalpebral technique and direct contact) or SD-OCT in the enhanced d
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Short-term effects of intravitreal dexamethasone implant (OZURDEX®) on choroidal thickness in patients with naive branch retinal vein occlusion
Published on (4 days ago)
ABSTRACT Purpose: The objective of this study was to evaluate subfoveal choroidal thickness (SFCT) using enhanced depth imaging optical coherence tomography (EDI-OCT) in patients with naïve branch retinal vein occlusion (BRVO) before and after intravitreal dexamethasone implant (Ozurdex®) injection. Methods: Thirty-nine patients with unilateral BRVO and 35 healthy subjects were included in this prospective study. Choroidal thickness was evaluated by EDI-OCT at baseline and 1 month after dexameth
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Short-term effects of intravitreal dexamethasone implant (OZURDEX®) on choroidal thickness in patients with naive branch retinal vein occlusion
Published on (4 days ago)
ABSTRACT Purpose: The objective of this study was to evaluate subfoveal choroidal thickness (SFCT) using enhanced depth imaging optical coherence tomography (EDI-OCT) in patients with naïve branch retinal vein occlusion (BRVO) before and after intravitreal dexamethasone implant (Ozurdex®) injection. Methods: Thirty-nine patients with unilateral BRVO and 35 healthy subjects were included in this prospective study. Choroidal thickness was evaluated by EDI-OCT at baseline and 1 month after dexameth
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Autofluorescence and spectral-domain optical coherence tomography of optic disk melanocytoma
Published on (4 days ago)
The authors report fundus autofluorescence (FAF) and spectral-domain optical coherence tomography (OCT) findings of two consecutive patients who presented with optic disk melanocytoma (ODM). A retrospective study was performed by reviewing medical records and ophthalmic imaging examinations. Optical coherence tomography findings were sloped and brightly reflective anterior tumor surface, adjacent retinal desorganization and abrupt posterior optical shadowing. Vitreous seeds were found in one pat
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Fundus Autofluorescence in Premature Infants
Published on (4 days ago)
Evaluation of fundus autofluorescence patters in premature infants.
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Stability and biocompatibility of a Bionic Eye - Ophthalmoscopy, intraocular pressure, optical coherence tomography and radiography data
Published on (4 days ago)
Data related to: Implantation and long-term assessment of the stability and biocompatibility of a novel 98 channel suprachoroidal visual prosthesis in sheep In Eggenberger et al., nine sheep of the Suffolk (N=2) and Dorper (N=7) breeds were implanted in the left eye with a suprachoroidal retinal stimulator (Bionic Eye) for durations up to 100 days. The surgical safety, implant stability and device biocompatibility were assessed. All procedures were performed conducted in accordance with the Aust
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Evaluation of the KOWA SL-19 Plus Portable Slit Lamp with Integrated Digital Camera for Veterinary Ophthalmic Imaging A Comparative Study with Smartphone-Based Systems
Published on (4 days ago)
This study compares the performance of the KOWA SL-19 Plus portable slit lamp, equipped with an integrated digital camera, and a smartphone-based imaging system adapted to fit on the slit lamp eyepiece for veterinary ophthalmic imaging. Both devices were tested for their efficiency, image quality, and diagnostic utility in clinical settings.
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Rotterdam Artery-Vein Segmentation Dataset - RAV
Published on (4 days ago)
Dataset of color fundus images annotated at the Department of Ophthalmology, Erasmus MC, Rotterdam with semi-manual artery-vein segmentations. Segmentations were acquired by manual refinement of outputs from a vessel segmentation model trained on publicly-available datasets followed by coloring of the artery and vein trees in an overlapping manner. Annotations were checked for correct connectivity of artery and vein trees. The public / open access set consists of 53 images. A private set consist
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Inter-eye Molecular Discrepancies in the Corneal Epithelium Point to TFRC in the Keratoconus Severity Signature and Mechanism of Cone Formation
Published on (4 days ago)
This dataset accompanies the manuscript titled 'Inter-eye Molecular Discrepancies in the Corneal Epithelium Point to TFRC in the Keratoconus Severity Signature and Mechanism of Cone Formation’ by Jaskiewicz-Rajewicz et al., submitted to Investigative Ophthalmology & Visual Science (IOVS). The data was processed on 10 July 2025. Mendeley Supplementary Table 1. This table presents the results of confocal fluorescence imaging of corneal epithelium (CE) samples, along with associated metadata. T
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Inter-eye Molecular Discrepancies in the Corneal Epithelium Point to TFRC in the Keratoconus Severity Signature and Mechanism of Cone Formation
Published on (4 days ago)
This dataset accompanies the manuscript titled 'Inter-eye Molecular Discrepancies in the Corneal Epithelium Point to TFRC in the Keratoconus Severity Signature and Mechanism of Cone Formation’ by Jaskiewicz-Rajewicz et al., submitted to Investigative Ophthalmology & Visual Science (IOVS). The data was processed on 10 July 2025. Mendeley Supplementary Table 1. This table presents the results of confocal fluorescence imaging of corneal epithelium (CE) samples, along with associated metadata. T
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Preoperative estimation of retinal hole location using ultra-wide-field imaging
Published on (4 days ago)
Accurate localization of retinal holes is essential for successful scleral buckling (SB) surgery. We aimed to verify the feasibility of using ultra-wide-field (UWF) imaging for preoperative estimation of retinal hole location. We observed 21 eyes from 21 patients with rhegmatogenous retinal detachment (RRD) who underwent successful SB. They were treated at the Department of Ophthalmology of the Second Hospital of Hebei Medical University between November 2020 and November 2021. UWF fundus photog
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Ophthalmic Imaging Relay for Small Animals
Published on (4 days ago)
Zemax file for an ophthalmic imaging relay for small animals. This design is optimized for combined optical coherence tomography and scanning laser ophthalmoscopy. This system uses a single mode fiber input and a collimator (not simulated) which results in a 4 mm input beam.
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Evaluation of the KOWA SL-19 Plus Portable Slit Lamp with Integrated Digital Camera for Veterinary Ophthalmic Imaging A Comparative Study with Smartphone-Based Systems
Published on (4 days ago)
This study compares the performance of the KOWA SL-19 Plus portable slit lamp, equipped with an integrated digital camera, and a smartphone-based imaging system adapted to fit on the slit lamp eyepiece for veterinary ophthalmic imaging. Both devices were tested for their efficiency, image quality, and diagnostic utility in clinical settings.
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<b>Multimodal Eye Imaging, Retina Characteristics, and Psychological Assessment Dataset</b>
Published on (4 days ago)
The eyes offer insights into to psychology, potentially providing a unique perspective for psychological health profiles. However, there existed a shortage of datasets that simultaneously encompass eye features and psychological assessments. To address this gap, our study presented a dataset that included Fundus Photography, Psychological Assessment, Retina Characteristics, and Multimodal Imaging (FPRM). FPRM dataset comprised fundus images at different wavelengths (548 nm and 605 nm), image of
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Associations between retinal markers and incident ALS.
Published on (4 days ago)
Associations between retinal markers and incident ALS.
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Data Sheet 1_Synergistic AI-resident approach achieves superior diagnostic accuracy in tertiary ophthalmic care for glaucoma and retinal disease.pdf
Published on (4 days ago)
IntroductionArtificial intelligence (AI) shows promise in ophthalmology, but its potential in tertiary care settings in Latin America remains understudied. We present a Mexican AI-powered screening tool and evaluate it against first-year ophthalmology residents in a tertiary care setting in Mexico City.MethodsWe analyzed data from 435 adult patients undergoing their first ophthalmic evaluation using an AI-based platform and first-year ophthalmology residents. The platform employs an Inception V3
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<b>Multimodal Eye Imaging, Retina Characteristics, and Psychological Assessment Dataset</b>
Published on (4 days ago)
The eyes offer insights into to psychology, potentially providing a unique perspective for psychological health profiles. However, there existed a shortage of datasets that simultaneously encompass eye features and psychological assessments. To address this gap, our study presented a dataset that included Fundus Photography, Psychological Assessment, Retina Characteristics, and Multimodal Imaging (FPRM). FPRM dataset comprised fundus images at different wavelengths (548 nm and 605 nm), image of
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<b>Multimodal Eye Imaging, Retina Characteristics, and Psychological Assessment Dataset</b>
Published on (4 days ago)
The eyes offer insights into to psychology, potentially providing a unique perspective for psychological health profiles. However, there existed a shortage of datasets that simultaneously encompass eye features and psychological assessments. To address this gap, our study presented a dataset that included Fundus Photography, Psychological Assessment, Retina Characteristics, and Multimodal Imaging (FPRM). FPRM dataset comprised fundus images at different wavelengths (548 nm and 605 nm), image of
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Fairer AI in Ophthalmology via Implicit Fairness Learning for Mitigating Sexism and Ageism
Published on (4 days ago)
We collect the largest and most diverse fundus image dataset with data from over 8,405 patients representing a wide age range (0 to 90 years). The fundus dataset contains two types of advanced ultra-widefield and regular narrow-angle fundus images, with the ultra-widefield imaging dataset containing 16,530 fundus images annotated with 38 ophthalmic diseases and 67 fundus features and the narrow-angle imaging dataset containing 4,540 fundus images annotated with 16 ophthalmic diseases and 20 fund
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M3-OCTA:Leveraging Multimodal Fusion for Enhanced Diagnosis of Multiple Retinal Diseases in Ultra-wide OCTA
Published on (4 days ago)
Ultra-wide optical coherence tomography angiography (UW-OCTA) is an emerging imaging technique that offers significant advantages over traditional OCTA by providing an exceptionally wide scanning range of up to 24 x 20 mm^{2}, covering both the anterior and posterior regions of the retina. However, the currently accessible UW-OCTA datasets suffer from limited comprehensive hierarchical information and corresponding disease annotations. To address this limitation, we have curated the pioneering M
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M3-OCTA:Leveraging Multimodal Fusion for Enhanced Diagnosis of Multiple Retinal Diseases in Ultra-wide OCTA
Published on (4 days ago)
Ultra-wide optical coherence tomography angiography (UW-OCTA) is an emerging imaging technique that offers significant advantages over traditional OCTA by providing an exceptionally wide scanning range of up to 24 x 20 mm^{2}, covering both the anterior and posterior regions of the retina. However, the currently accessible UW-OCTA datasets suffer from limited comprehensive hierarchical information and corresponding disease annotations. To address this limitation, we have curated the pioneering M
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Preoperative estimation of retinal hole location using ultra-wide-field imaging
Published on (4 days ago)
Accurate localization of retinal holes is essential for successful scleral buckling (SB) surgery. We aimed to verify the feasibility of using ultra-wide-field (UWF) imaging for preoperative estimation of retinal hole location. We observed 21 eyes from 21 patients with rhegmatogenous retinal detachment (RRD) who underwent successful SB. They were treated at the Department of Ophthalmology of the Second Hospital of Hebei Medical University between November 2020 and November 2021. UWF fundus photog
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Data from: Photodynamic therapy with infracyanine green induces keratocyte depopulation in the normal equine cornea
Published on (4 days ago)
The purpose of this study was to investigate the morphologic effects and safety of in vivo photodynamic therapy (PDT) on the healthy equine cornea. Six university-owned horses underwent unilateral corneal PDT with intrastromal infracyanine green and photoactivation with an 810nm diode laser (500mW for 2.5 min = 75 Joules). Complete ophthalmic examinations, clinical scoring, digital and infrared photography, ocular thermography, in vivo confocal microscopy (IVCM), and ultrasound biomicrosco
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DataSheet_1_Quantitative assessment of retinal vasculature changes in systemic lupus erythematosus using wide-field OCTA and the correlation with disease activity.docx
Published on (4 days ago)
PurposeTo assess the retinal vasculature changes quantitatively using wide-field optical coherence tomography angiography (OCTA) in systemic lupus erythematosus (SLE), and explore its correlation with systemic clinical features.DesignProspective, cross-sectional, observational study.Participants and controlsPatients with SLE who presented to the Ophthalmology Department of Peking Union Medical College Hospital from November 2022 to April 2023 were collected. The subjects were divided into retino
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Inter-eye Molecular Discrepancies in the Corneal Epithelium Point to TFRC in the Keratoconus Severity Signature and Mechanism of Cone Formation
Published on (4 days ago)
This dataset accompanies the manuscript titled 'Inter-eye Molecular Discrepancies in the Corneal Epithelium Point to TFRC in the Keratoconus Severity Signature and Mechanism of Cone Formation’ by Jaskiewicz-Rajewicz et al., submitted to Investigative Ophthalmology & Visual Science (IOVS). Mendeley Supplementary Table 1. This table presents the results of confocal fluorescence imaging of corneal epithelium (CE) samples, along with associated metadata. The quantitative data derived from these
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CornOrb: A Multimodal Dataset of Orbscan Corneal Topography and Clinical Annotations for Keratoconus Detection
Published on (4 days ago)
This dataset contains 1,454 eyes from 744 patients (889 normal, 565 keratoconus) collected with the Orbscan 3 device in Algerian ophthalmology centers. For each eye, four corneal maps are provided (Axial, Anterior, Posterior, Pachymetry), alongside structured clinical annotations (age, sex, astigmatism, K max, pachymetry, asphericity, diagnostic label). All data are anonymized and pre-processed into standardized PNG images and CSV files, directly usable for deep learning research. This resource
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CornOrb: A Multimodal Dataset of Orbscan Corneal Topography and Clinical Annotations for Keratoconus Detection
Published on (4 days ago)
This dataset contains 1,454 eyes from 744 patients (889 normal, 565 keratoconus) collected with the Orbscan 3 device in Algerian ophthalmology centers. For each eye, four corneal maps are provided (Axial, Anterior, Posterior, Pachymetry), alongside structured clinical annotations (age, sex, astigmatism, K max, pachymetry, asphericity, diagnostic label). All data are anonymized and pre-processed into standardized PNG images and CSV files, directly usable for deep learning research. This resource
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A Multimodal Dataset of Orbscan Corneal Topography and Clinical Annotations for Keratoconus Detection
Published on (4 days ago)
This dataset contains 1,454 eyes from 744 patients (889 normal, 565 keratoconus) collected with the Orbscan 3 device in Algerian ophthalmology centers. For each eye, four corneal maps are provided (Axial, Anterior, Posterior, Pachymetry), alongside structured clinical annotations (age, sex, astigmatism, K max, pachymetry, asphericity, diagnostic label). All data are anonymized and pre-processed into standardized PNG images and CSV files, directly usable for deep learning research. This resource
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Racemose hemangioma presenting as a vitreous hemorrhage: case report
Published on (4 days ago)
ABSTRACT This report describes a case of retinal racemose hemangioma that first presented as a vitreous hemorrhage. The authors present the case of a 47-year-old woman with a sudden 5-day painless visual loss in her left eye. At the first visit, the best-correct visual acuities were 20/20 in the right eye and hand motions in the left eyes. Ultrasonography showed an attached retina and a massive vitreous hemorrhage. Pars plana vitrectomy was performed and a dilatation of large vessels was detecte
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S1 Data set -
Published on (4 days ago)
PurposeIdentify risk factors of progression in treated normal-tension glaucoma (NTG) in highly myopic and non-highly myopic eyes.MethodsThis retrospective, observational case series study included 42 highly myopic glaucoma (HMG, <-6D) eyes and 39 non-highly myopic glaucoma (NHG,≧-6D) eyes. Glaucoma progression was determined by serial visual field data. Univariate and multivariate logistic regression method were used to detect associations between potential risk factors and glaucoma progression.
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Characteristic of participants.
Published on (4 days ago)
PurposeIdentify risk factors of progression in treated normal-tension glaucoma (NTG) in highly myopic and non-highly myopic eyes.MethodsThis retrospective, observational case series study included 42 highly myopic glaucoma (HMG, <-6D) eyes and 39 non-highly myopic glaucoma (NHG,≧-6D) eyes. Glaucoma progression was determined by serial visual field data. Univariate and multivariate logistic regression method were used to detect associations between potential risk factors and glaucoma progression.
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Data from: Plane wave Doppler determination of blood flow in retinopathy of prematurity
Published on (4 days ago)
Retinopathy of prematurity (ROP) is a disorder affecting low birthweight, preterm neonates. In the preterm eye, the retina is not fully developed and neovascularization may occur at the margin between the developed vascular retina and undeveloped avascular retina. Without timely treatment by laser or intravitreal anti-vascular endothelial growth factor (VEGF) therapy, this can lead to tractional retinal detachment and blindness. Visualization of the retina in regular examinations by indire
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Plane wave ultrasound and OCT angiography of the eye in preeclampsia
Published on (4 days ago)
This study involves examination of ocular blood flow in human subjects in preeclampsia (PE). Both eyes were examined by plane-wave ultrasound and by optical coherence angiography (OCTA) within 72 hours of delivery. Ultrasound Doppler was used to assess flow velocity and resistance in the central retinal artery and vein, the short posterior ciliary arteries and the choroid. OCTA was used to assess vascular density in the superficial and deep retina and the choriocapillaris. Analysis inc
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Ex vivo multispecies dataset for three-dimensional reconstruction of the corneal stromal nerve plexus using hexapod-based confocal microscopy and deep-learning segmentation
Published on (4 days ago)
This dataset provides three-dimensional confocal microscopy images and deep-learning-based nerve segmentations of the stromal corneal nerve plexus from ex vivo samples of multiple species (porcine, murine, ovine, and human). Corneal volumes were acquired using a confocal microscope synchronized with a programmable six-axis hexapod platform that precisely positioned the specimens, enabling large-scale volume scans of the corneal stroma. A U-Net-based 2.5D segmentation model was trained exclusivel
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Ex vivo multispecies dataset for three-dimensional reconstruction of the corneal stromal nerve plexus using hexapod-based confocal microscopy and deep-learning segmentation
Published on (4 days ago)
This dataset provides three-dimensional confocal microscopy images and deep-learning-based nerve segmentations of the stromal corneal nerve plexus from ex vivo samples of multiple species (porcine, murine, ovine, and human). Corneal volumes were acquired using a confocal microscope synchronized with a programmable six-axis hexapod platform that precisely positioned the specimens, enabling large-scale volume scans of the corneal stroma. A U-Net-based 2.5D segmentation model was trained exclusivel
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CIL:6517, Danio rerio, Outer plexiform layer of retina, Outer nuclear layer of retina. In Cell Image Library
Published on (4 days ago)
This study of the zebrafish eye is a series of four images taken at increasing magnifications. The first image is the SEM block face of the zebrafish eye. This is followed by this image, the second image, which is a higher magnification TEM image of the plexiform layer and the outer nuclear layer of the zebrafish retina. The third image is a 15,000X TEM image of the bipolar and horizontal cells interdigitating in the OPL layer of the zebrafish retina. The fourth image in the series is a higher m
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CIL:6519, Danio rerio, Outer plexiform layer of retina. In Cell Image Library
Published on (4 days ago)
This study of the zebrafish eye is a series of four images taken at increasing magnifications. The first image is the SEM block face of the zebrafish eye. This is followed by a second image that is a higher magnification TEM image of the plexiform layer and the outer nuclear layer of the zebrafish retina. The third image is a 15,000X TEM image of the bipolar and horizontal cells interdigitating in the OPL layer of the zebrafish retina. This image, the fourth in the series, is a higher magnificat
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CIL:6518, Danio rerio, Outer plexiform layer of retina, Bipolar cell of retina. In Cell Image Library
Published on (4 days ago)
This study of the zebrafish eye is a series of four images taken at increasing magnifications. The first image is the SEM block face of the zebrafish eye. This is followed by a second image that is a higher magnification TEM image of the plexiform layer and the outer nuclear layer of the zebrafish retina. This image, the third image in the series, is a 15,000X TEM image of the bipolar and horizontal cells interdigitating in the OPL layer of the zebrafish retina. The fourth image in the series is
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OIMHS dataset
Published on (4 days ago)
OIMHS dataset consists of 3859 B-scan images of 119 patients with pixel annotation of retina, macular hole, intraretinal cysts, and choroid. The quality of each image was evaluated including low signal strength, signal shield and image blur. We believe this dataset will allow interested researchers to better segment macular holes and train their models, which will benefit the further development of macular hole segmentation and clinical research.
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Sjogren's syndrome OCTA data.xlsx
Published on (4 days ago)
Sjogren’s syndrome (SS) is a long-term rheumatic autoimmune disease that affects multiple organs. It is not known whether ocular changes are relevant to the diagnosis of SS. This was addressed in the present study by examining microvascular changes in the retina of SS patients by optical coherence tomography angiography (OCTA).Individuals with SS and healthy controls were enrolled (n=12 per group). An en-face OCTA scan was performed on each eye. Images were segmented into 9 subregions and macula
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OIMHS dataset
Published on (4 days ago)
OIMHS dataset consists of 3859 B-scan images of 119 patients with pixel annotation of retina, macular hole, intraretinal cysts, and choroid. The quality of each image was evaluated including low signal strength, signal shield and image blur. We believe this dataset will allow interested researchers to better segment macular holes and train their models, which will benefit the further development of macular hole segmentation and clinical research.
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Sjogren's syndrome OCTA data.xlsx
Published on (4 days ago)
Sjogren’s syndrome (SS) is a long-term rheumatic autoimmune disease that affects multiple organs. It is not known whether ocular changes are relevant to the diagnosis of SS. This was addressed in the present study by examining microvascular changes in the retina of SS patients by optical coherence tomography angiography (OCTA).Individuals with SS and healthy controls were enrolled (n=12 per group). An en-face OCTA scan was performed on each eye. Images were segmented into 9 subregions and macula
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Comparison of pain scores between patients undergoing panretinal photocoagulation using navigated or pattern scan laser systems
Published on (4 days ago)
ABSTRACT Purpose: To compare the pain responses of patients with proliferative diabetic retinopathy (PDR) undergoing panretinal photocoagulation (PRP) using either pattern scan laser (PASCAL) or navigated laser photocoagulation (NAVILAS). Methods: Patients diagnosed with PDR were randomly assigned to undergo either PASCAL or NAVILAS photocoagulation treatment. PRP was performed using the multi-shot mode with a spot size of 200-400 µm and a pulse duration of 30 ms to obtain a white-grayish spot o
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Comparison of pain scores between patients undergoing panretinal photocoagulation using navigated or pattern scan laser systems
Published on (4 days ago)
ABSTRACT Purpose: To compare the pain responses of patients with proliferative diabetic retinopathy (PDR) undergoing panretinal photocoagulation (PRP) using either pattern scan laser (PASCAL) or navigated laser photocoagulation (NAVILAS). Methods: Patients diagnosed with PDR were randomly assigned to undergo either PASCAL or NAVILAS photocoagulation treatment. PRP was performed using the multi-shot mode with a spot size of 200-400 µm and a pulse duration of 30 ms to obtain a white-grayish spot o
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Dataset of ocular wavefront vergence coefficients and PTV-normalized metrics in myopic eyes 2013–2025
Published on (4 days ago)
This record provides a de-identified dataset of ocular wavefront–derived vergence coefficients in myopic candidates for corneal refractive surgery examined at Fondation Rothschild (Paris, France) between 2013 and 2025. Measurements were acquired with the OPD-Scan III (Nidek) using automated spatial dynamic skiascopy and centered on the corneal vertex. Inclusion criteria for this public release are: objective myopia (sphere ≤ −0.50 D and spherical equivalent ≤ −0.50 D), no recorded ocular comorbi
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Dataset of ocular wavefront vergence coefficients and PTV-normalized metrics in myopic eyes 2013–2025
Published on (4 days ago)
This record provides a de-identified dataset of ocular wavefront–derived vergence coefficients in myopic candidates for corneal refractive surgery examined at Fondation Rothschild (Paris, France) between 2013 and 2025. Measurements were acquired with the OPD-Scan III (Nidek) using automated spatial dynamic skiascopy and centered on the corneal vertex. Inclusion criteria for this public release are: objective myopia (sphere ≤ −0.50 D and spherical equivalent ≤ −0.50 D), no recorded ocular comorbi
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Table_1_Ultra-widefield color fundus photography combined with high-speed ultra-widefield swept-source optical coherence tomography angiography for non-invasive detection of lesions in diabetic retino
Published on (4 days ago)
PurposeTo compare the detection rate of diabetic retinopathy (DR) lesions and the agreement of DR severity grading using the ultra-widefield color fundus photography (UWF CFP) combined with high-speed ultra-widefield swept-source optical coherence tomography angiography (UWF SS-OCTA) or fluorescein angiography (FFA).MethodsThis prospective, observational study recruited diabetic patients who had already taken the FFA examination from November 2021 to June 2022. These patients had either no DR or
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Labeled Retinal Optical Coherence Tomography Dataset for Classification of Normal, Drusen, and CNV Cases
Published on (4 days ago)
This dataset consists of more than 16,000 retinal OCT B-scans from 441 cases (Normal: 120, Drusen: 160, CNV: 161) and is acquired at Noor Eye Hospital, Tehran, Iran. Images are labeled by a retinal specialist. The structure of the folders are as below: - CNV, DRUSEN, NORMAL folders - Within each class, folders are separated patient-wise with numbers from 1 to . - Within each patient folder, images (B-scans) are labeled with <0XX_LABEL> format where is the B-scan number, and is the speciali
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Labeled Retinal Optical Coherence Tomography Dataset for Classification of Normal, Drusen, and CNV Cases
Published on (4 days ago)
This dataset consists of more than 16,000 retinal OCT B-scans from 441 cases (Normal: 120, Drusen: 160, CNV: 161) and is acquired at Noor Eye Hospital, Tehran, Iran. Images are labeled by a retinal specialist. The structure of the folders are as below: - CNV, DRUSEN, NORMAL folders - Within each class, folders are separated patient-wise with numbers from 1 to . - Within each patient folder, images (B-scans) are labeled with <0XX_LABEL> format where is the B-scan number, and is the speciali
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Labeled Retinal Optical Coherence Tomography Dataset for Classification of Normal, Drusen, and CNV Cases
Published on (4 days ago)
This dataset consists of more than 16,000 retinal OCT B-scans from 441 cases (Normal: 120, Drusen: 160, CNV: 161) and is acquired at Noor Eye Hospital, Tehran, Iran. Images are labeled by a retinal specialist. The structure of the folders are as below: - CNV, DRUSEN, NORMAL folders - Within each class, folders are separated patient-wise with numbers from 1 to . - Within each patient folder, images (B-scans) are labeled with format where is the B-scan number,
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Supplementary Material for: Inner Retinal Thickness and Vasculature in Patients with Reticular Pseudodrusen
Published on (4 days ago)
Introduction: To investigate retinal layer thickness and vessel density differences between patients with reticular pseudodrusen (RPD) and intermediate dry age-related macular degeneration (iAMD). Methods: Participants included in the study were patients diagnosed by retinal specialists with RPD, iAMD, and both RPD and iAMD at our academic referral center, seen from May 2021 until February 2022. The central 3 mm retinal thickness was measured using spectral-domain optical coherence tomography (S
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Supplementary Material for: Inner Retinal Thickness and Vasculature in Patients with Reticular Pseudodrusen
Published on (4 days ago)
Introduction: To investigate retinal layer thickness and vessel density differences between patients with reticular pseudodrusen (RPD) and intermediate dry age-related macular degeneration (iAMD). Methods: Participants included in the study were patients diagnosed by retinal specialists with RPD, iAMD, and both RPD and iAMD at our academic referral center, seen from May 2021 until February 2022. The central 3 mm retinal thickness was measured using spectral-domain optical coherence tomography (S
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Multimodal assessment of patients with chronic central serous chorioretinopathy
Published on (4 days ago)
ABSTRACT Purpose: To examine differences between fluorescein angiography (FA) and indocyanine green angiography (ICG) findings in patients with chronic central serous chorioretinopathy (CSC), comparing these with optical coherence tomography (OCT) findings. Methods: Ten consecutive patients with chronic CSC (19 eyes; 7 men; mean age, 50.7 ± 8.4 years) underwent multimodal evaluation that included FA, ICG, and OCT (Spectralis HRA-OCT, Heidelberg Engineering, Heidelberg, Germany). Changes such as
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Multimodal assessment of patients with chronic central serous chorioretinopathy
Published on (4 days ago)
ABSTRACT Purpose: To examine differences between fluorescein angiography (FA) and indocyanine green angiography (ICG) findings in patients with chronic central serous chorioretinopathy (CSC), comparing these with optical coherence tomography (OCT) findings. Methods: Ten consecutive patients with chronic CSC (19 eyes; 7 men; mean age, 50.7 ± 8.4 years) underwent multimodal evaluation that included FA, ICG, and OCT (Spectralis HRA-OCT, Heidelberg Engineering, Heidelberg, Germany). Changes such as
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The obtained classification reports for the test sets after performing the cross-validation on the KAIMRC images.
Published on (4 days ago)
The obtained classification reports for the test sets after performing the cross-validation on the KAIMRC images.
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External Eye Photographs for Screening Referable Blepharitis
Published on (4 days ago)
This dataset contains external eye photographs curated from publicly available web sources to support research on screening referable blepharitis using camera-only images. Intended use: Benchmark binary classification of blepharitis vs normal on external photographs.
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External Eye Photographs for Screening Referable Blepharitis
Published on (4 days ago)
This dataset contains external eye photographs curated from publicly available web sources to support research on screening referable blepharitis using camera-only images. Intended use: Benchmark binary classification of blepharitis vs normal on external photographs.
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Supplementary Data for: Association of Cognitive Function and Retinal Neural and Vascular Structure in Type 1 Diabetes
Published on (4 days ago)
Supplementary Data for "Association of Cognitive Function and Retinal Neural and Vascular Structure in Type 1 Diabetes", which study assessed whether structural and vascular abnormalities of the retina, representing an extension of the central nervous system, are associated with cognitive impairment and other complications of type 1 diabetes.
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Erratum: Imaging Cutaneous T-Cell Lymphoma with Optical Coherence Tomography
Published on (4 days ago)
Aim: To investigate the presentation of a patch-stage cutaneous T-cell lymphoma (CTCL) using optical coherence tomography (OCT). Methods: A patient with a patch caused by CTCL was photographed digitally, OCT-scanned and biopsied. A normal skin area adjacent to the patch was OCT-scanned for comparison, but not biopsied. The OCT image and the histological image were compared. Results: The OCT images illustrated a thickened and hyperreflective stratum corne
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Optic Nerve Head Image Database (ODTiD)
Published on (4 days ago)
The Optic Disc tilt (ODT) or Tilted optic disc is a common finding in the general population and it is due to anomalous ocular development caused by the malclosure of the embryonic optic fissure. ODT is commonly associated with high myopia as well as other conditions (e.g., astigmatism, visual field loss, defective color vision, and retinal abnormalities). This dataset of ODT images contains both horizontal and vertical cross-sectional images obtained using Spectral-Domain Optical coherence tomo
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Retinal OCT images
Published on (4 days ago)
The dataset consists of retinal optical coherence tomography (OCT) images captured from two different devices, Cirrus and Spectralis, both of which are widely used in clinics. It includes detailed label information for images captured from Cirrus.
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Spectralis dataset
Published on (4 days ago)
A dataset of OCT scans obtained with the Spectralis machine.
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Optic Nerve Head Image Database (ODTiD)
Published on (4 days ago)
The Optic Disc tilt (ODT) or Tilted optic disc is a common finding in the general population and it is due to anomalous ocular development caused by the malclosure of the embryonic optic fissure. ODT is commonly associated with high myopia as well as other conditions (e.g., astigmatism, visual field loss, defective color vision, and retinal abnormalities). This dataset of ODT images contains both horizontal and vertical cross-sectional images obtained using Spectral-Domain Optical coherence tomo
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Effects of axial length on retinal nerve fiber layer and macular ganglion cell-inner plexiform layer measured by spectral-domain OCT
Published on (4 days ago)
ABSTRACT Purpose: To evaluate the influence of ocular axial length on circumpapillary retinal nerve fiber layer and ganglion cell-inner plexiform layer thickness in healthy eyes after correcting for ocular magnification effect. Methods: In this cross-sectional study, we evaluated 120 eyes from 60 volunteer participants (myopes, emmetropes, and hyperopes). The thickness of the circumpapillary retinal nerve fiber layer and ganglion cell-inner plexiform layer were measured using the spectral optica
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Effects of axial length on retinal nerve fiber layer and macular ganglion cell-inner plexiform layer measured by spectral-domain OCT
Published on (4 days ago)
ABSTRACT Purpose: To evaluate the influence of ocular axial length on circumpapillary retinal nerve fiber layer and ganglion cell-inner plexiform layer thickness in healthy eyes after correcting for ocular magnification effect. Methods: In this cross-sectional study, we evaluated 120 eyes from 60 volunteer participants (myopes, emmetropes, and hyperopes). The thickness of the circumpapillary retinal nerve fiber layer and ganglion cell-inner plexiform layer were measured using the spectral optica
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Supplementary Material for: Visualization and Identification of Silicone Oil Emulsification Using Dynamic Infrared Confocal Scanning Laser Ophthalmoscopy
Published on (4 days ago)
Silicone oil (SO) plays a key-role as an intraocular tamponade in managing complex vitreoretinal diseases. However, its emulsification can lead to severe irreversible anterior and posterior segment complications. Traditional imaging often struggles to visualize SO, necessitating advanced techniques. This study aimed to introduce and evaluate the use of dynamic infrared confocal scanning laser ophthalmoscopy (IRcSLO) in imaging SO and its emulsification. Two patients, post pars plana vitrectomy w
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Retinal Fluid Segmentation Dataset
Published on (4 days ago)
A dataset of 228 OCT volumes with a total of 11,172 B-scans (66 Heidelberg Spectralis and 162 Zeiss Cirrus volumes).
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Retinal Cross-Domain Dataset
Published on (4 days ago)
A retinal cross-domain dataset consisting of 1,179 OCT volumes (57,771 B-scans after re-sampling Cirrus OCTs) with a total of 11,172 B-scans (66 Heidelberg Spectralis and 162 Zeiss Cirrus volumes).
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Open data set for: Intermittent control and retinal optic flow when maintaining a curvilinear path
Published on (4 days ago)
The data set contains the post-processed data used for the analysis of the paper. The post-processed data is derived from points of view rendered images (as seen by the research participants), their gazing behavior, and vehicular data when the research participants are driving in a double-lane S-shaped drive track on a texture-rich asphalt virtual reality. The post-processed data consists of ballistic control correction strength (acted on the steering wheel), retinal optic flow spatial angular
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Open data set for: Intermittent control and retinal optic flow when maintaining a curvilinear path
Published on (4 days ago)
The data set contains the post-processed data used for the analysis of the paper. The post-processed data is derived from points of view rendered images (as seen by the research participants), their gazing behavior, and vehicular data when the research participants are driving in a double-lane S-shaped drive track on a texture-rich asphalt virtual reality. The post-processed data consists of ballistic control correction strength (acted on the steering wheel), retinal optic flow spatial angular
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Cirrus dataset
Published on (4 days ago)
A dataset of OCT scans imaged with the Cirrus machine.
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Cirrus HD-OCT repeatability dataset.tif
Published on (4 days ago)
Repeatability dataset comprising OCT (20°x20°; 512x128) images obtained on 25 participants, at two separate imaging sessions, using a Zeiss Cirrus HD-OCT.
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FOCA:Fine-Grained OCTA dataset focuses on the complete microvascular structure
Published on (4 days ago)
These data are from paired Angiovue (RTVue XR Avanti, Optovue) instrument and Zeiss Cirrus 5000-HD-OCT Angioplex (Carl Zeiss Meditec) instrument devices, totaling 88 images(1:1). Dataset Range Detail Number FOCA(with annotation) 3mm*3mm These 40 paired images were labeled using a complete fine annotation that was able to label each identifiable microvascular region. The labeling process is integrated according to the paired images as a way to avoid human errors in the labeling process. 40
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FOCA:Fine-Grained OCTA dataset focuses on the complete microvascular structure
Published on (4 days ago)
These data are from paired Angiovue (RTVue XR Avanti, Optovue) instrument and Zeiss Cirrus 5000-HD-OCT Angioplex (Carl Zeiss Meditec) instrument devices, totaling 88 images(1:1). Dataset Range Detail Number FOCA(with annotation) 3mm*3mm These 40 paired images were labeled using a complete fine annotation that was able to label each identifiable microvascular region. The labeling process is integrated according to the paired images as a way to avoid human errors in the labeling process. 40
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Optic Nerve Head Image Database (ODTiD)
Published on (4 days ago)
The Optic Disc tilt (ODT) or Tilted optic disc is a common finding in the general population and it is due to anomalous ocular development caused by the malclosure of the embryonic optic fissure. ODT is commonly associated with high myopia as well as other conditions (e.g., astigmatism, visual field loss, defective color vision, and retinal abnormalities). This dataset of ODT images contains both horizontal and vertical cross-sectional images obtained using Spectral-Domain Optical coherence tomo
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Optic Nerve Head Image Database (ODTiD)
Published on (4 days ago)
The Optic Disc tilt (ODT) or Tilted optic disc is a common finding in the general population and it is due to anomalous ocular development caused by the malclosure of the embryonic optic fissure. ODT is commonly associated with high myopia as well as other conditions (e.g., astigmatism, visual field loss, defective color vision, and retinal abnormalities). This dataset of ODT images contains both horizontal and vertical cross-sectional images obtained using Spectral-Domain Optical coherence tomo
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Cirrus HD-OCT repeatability dataset.tif
Published on (4 days ago)
Repeatability dataset comprising OCT (20°x20°; 512x128) images obtained on 25 participants, at two separate imaging sessions, using a Zeiss Cirrus HD-OCT.
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Topcon dataset
Published on (4 days ago)
A dataset of OCT scans obtained with the Topcon machine.
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Corneal differences between healthy and subclinical patients assessed using two diferente corneal tomographers
Published on (4 days ago)
ABSTRACT Purpose: To analyze subclinical keratoconus topography indexes using Pentacam and Orbscan-II measurements to identify evidences for seeking sensitive indexes to screen and diagnose subclinical keratoconus. Methods: Fifty healthy participants (50 eyes) and 40 patients with subclinical keratoconus (40 eyes) were included. Seven common parameters including corneal thickness at the thinnest point; minimum curvature of the front surface (minimum simulated keratometry value, SimK’s Min); maxi
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Corneal differences between healthy and subclinical patients assessed using two diferente corneal tomographers
Published on (4 days ago)
ABSTRACT Purpose: To analyze subclinical keratoconus topography indexes using Pentacam and Orbscan-II measurements to identify evidences for seeking sensitive indexes to screen and diagnose subclinical keratoconus. Methods: Fifty healthy participants (50 eyes) and 40 patients with subclinical keratoconus (40 eyes) were included. Seven common parameters including corneal thickness at the thinnest point; minimum curvature of the front surface (minimum simulated keratometry value, SimK’s Min); maxi
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Corneal differences between healthy and subclinical patients assessed using two diferente corneal tomographers
Published on (4 days ago)
ABSTRACT Purpose: To analyze subclinical keratoconus topography indexes using Pentacam and Orbscan-II measurements to identify evidences for seeking sensitive indexes to screen and diagnose subclinical keratoconus. Methods: Fifty healthy participants (50 eyes) and 40 patients with subclinical keratoconus (40 eyes) were included. Seven common parameters including corneal thickness at the thinnest point; minimum curvature of the front surface (minimum simulated keratometry value, SimK’s Min); maxi
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Topcon 3D-OCT 1000 repeatability dataset.tif
Published on (4 days ago)
Repeatability dataset comprising OCT (20°x20°; 512x128) images obtained on 25 participants, at two separate imaging sessions, using a Topcon 3-D OCT 1000.
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OCTA-Mosaicking Dataset
Published on (4 days ago)
This dataset includes 19 sets of superficial capillary plexus OCTA images captured from 10 patients (right and left eyes, except for patient #6, which only includes left eye images). Each set consists of three to five overlapping images covering the area from the optic disc to the retinal temporal region, including the macular area. From these sets, wide-field OCTA mosaics can be constructed. Each image covers an area of 6 × 6 mm with a resolution of 320 × 320 pixels (18.7 μm/pixel). The datase
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Data for "Deep learning approach for steep and flat corneal curvature prediction using fundus photography"
Published on (4 days ago)
Corneal curvature is one of the important factors consisting of refractive errors and related to several pathological conditions of the cornea. Fundus photography is the widely used tool to examine the eyes in the current healthcare setting worldwide. The aim of this study is to develop a deep learning model based on fundus photography to predict corneal curvature by categorizing the steep, regular, and flat cornea groups. We analyzed the preoperative measurements of healthy participants withou
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Retinal plasticity in age-related macular degeneration
Published on (4 days ago)
The goal of this particular study is to construct a realistic physical model of viscoelastic retinal stretching and, on its basis, derive a universal quantitative criterion of irreversible retinal deformations during Age-related macular degeneration (AMD). In this work, standard methods of nonlinear fracture mechanics of ductile and viscoelastic materials were applied to study the evolution of retinal deformation progress in patients with neovascular AMD in the area of large druses or subretinal
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CORN: Corneal nerve fiber dataset
Published on (4 days ago)
The CORN database contains 4 subsets: CORN-1, CORN-2, CORN-3, and CORN1500
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CORN
Published on (4 days ago)
CORN1500 is a new corneal nerve dataset which was particularly designed for tortuosity grading tasks. The newly constructed CORN1500 aims to expand the dataset pool for tortuosity grading. Similar to CORN-3, all 1500 CCM in CORN1500 were acquired using a Heidelberg Retina Tomograph equipped with a Rostock Cornea Module (HRT-III) microscope. Each image has a resolution of 384 × 384 pixels covering a field of view of 400 × 400um2. All images were manually annotated by the same ophthalmologist as b
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Topcon 3D-OCT 1000 repeatability dataset.tif
Published on (4 days ago)
Repeatability dataset comprising OCT (20°x20°; 512x128) images obtained on 25 participants, at two separate imaging sessions, using a Topcon 3-D OCT 1000.
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Supplementary Material for: Visualization and Identification of Silicone Oil Emulsification Using Dynamic Infrared Confocal Scanning Laser Ophthalmoscopy
Published on (4 days ago)
Silicone oil (SO) plays a key-role as an intraocular tamponade in managing complex vitreoretinal diseases. However, its emulsification can lead to severe irreversible anterior and posterior segment complications. Traditional imaging often struggles to visualize SO, necessitating advanced techniques. This study aimed to introduce and evaluate the use of dynamic infrared confocal scanning laser ophthalmoscopy (IRcSLO) in imaging SO and its emulsification. Two patients, post pars plana vitrectomy w
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CORN-Pro
Published on (4 days ago)
To the best of our knowledge, no publicly available dataset exists for the segmentation of Langerhans cells (LCs) or stromal cells (SCs). To address this gap, we have extended the CORN dataset by introducing a new subset, CORN-4, specifically designed for segmentation tasks involving LCs and SCs. CORN-4 consists of 1,120 corneal confocal microscopy (CCM) images captured using the Heidelberg Retina Tomography System with the Rostock Cornea Module (HRT-III). The dataset includes 560 images featuri
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CORN-Pro
Published on (4 days ago)
To the best of our knowledge, no publicly available dataset exists for the segmentation of Langerhans cells (LCs) or stromal cells (SCs). To address this gap, we have extended the CORN dataset by introducing a new subset, CORN-4, specifically designed for segmentation tasks involving LCs and SCs. CORN-4 consists of 1,120 corneal confocal microscopy (CCM) images captured using the Heidelberg Retina Tomography System with the Rostock Cornea Module (HRT-III). The dataset includes 560 images featuri
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CORN: Corneal nerve fiber dataset
Published on (4 days ago)
The CORN database contains 4 subsets: CORN-1, CORN-2, CORN-3, and CORN1500
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Data for: Fréchet PDF based Matched Filter Approach for Retinal Blood Vessels Segmentation
Published on (4 days ago)
Here, two free and online publicly available databases: STARE and DRIVE for retinal blood vessels
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Edge-Aware Vessel Segmentation Based on Local-to-Global Supervision
Published on (4 days ago)
‌DRIVE Dataset‌: The DRIVE dataset consists of 40 fundus images collected from 7 patients with retinal disease and 33 healthy individuals. Each image has a resolution of 584 × 565 pixels. A total of 20 images are used for training, while the remaining 20 images are designated for testing. Each image has two annotations provided by two different experts, and we use the first annotation as the ground truth.‌CHASE_DB1 Dataset‌: The CHASE_DB1 dataset contains 28 retinal images ca
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Edge-Aware Vessel Segmentation Based on Local-to-Global Supervision
Published on (4 days ago)
‌DRIVE Dataset‌: The DRIVE dataset consists of 40 fundus images collected from 7 patients with retinal disease and 33 healthy individuals. Each image has a resolution of 584 × 565 pixels. A total of 20 images are used for training, while the remaining 20 images are designated for testing. Each image has two annotations provided by two different experts, and we use the first annotation as the ground truth.‌CHASE_DB1 Dataset‌: The CHASE_DB1 dataset contains 28 retinal images ca
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Clinical data of all included patients.
Published on (4 days ago)
PurposeTo investigate the concordance between angle-closure assessments based on GS-1 gonioscope images and those obtained with anterior-segment optical coherence tomography.Study designRetrospective clinical study.MethodsWe included 33 patients (53 eyes) who visited Chukyo Eye Clinic during 2020–2024, were suspected of having angle closure, and underwent anterior-segment optical coherence tomography (CASIA2 Advance STAR Analyzer) and GS-1 examinations. The 16-directional images captured with th
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Dataset distribution of 3dv files and classes.
Published on (4 days ago)
Purpose Prediction of the ectasia screening index, an estimator provided by the Casia2 instrument for identifying keratoconus, from raw optical coherence tomography data using convolutional neural networks.Methods Three convolutional neural networks models (ResNet18, DenseNet121 and EfficientNetB0) were employed to predict the ectasia screening index. Mean absolute error was used as the performance metric for predicting the ectasia screening index by the adapted convolutional neural network mode
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Summary of extracted parameters.
Published on (4 days ago)
Automated detection of papilloedema using artificial intelligence (AI) and retinal images acquired through an ophthalmoscope for triage of patients with potential intracranial pathology could prove to be beneficial, particularly in resource-limited settings where access to neuroimaging may be limited. However, a comprehensive overview of the current literature on this field is lacking. We conducted a systematic review on the use of AI for papilloedema detection by searching four databases: Ovid
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Evaluation of the effectiveness of double task.
Published on (4 days ago)
Optical Coherence Tomography (OCT) offers high-resolution images of the eye’s fundus. This enables thorough analysis of retinal health by doctors, providing a solid basis for diagnosis and treatment. With the development of deep learning, deep learning-based methods are becoming more popular for fundus OCT image segmentation. Yet, these methods still encounter two primary challenges. Firstly, deep learning methods are sensitive to weak edges. Secondly, the high cost of annotating medical image d
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Digital Retinal Images for Vessel Extraction (DRIVE)
Published on (4 days ago)
The Digital Retinal Images for Vessel Extraction (DRIVE) database contains 40 2D color fundus images of retinal vessels with a size of 584 × 565, including 20 images for training and the rest 20 images for testing.
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MTNet-datasets.rar
Published on (4 days ago)
A controlled experiment was conducted to test the performance of the CSP_UNet algorithm. In this paper, four commonly used retinal fundus image datasets with a total of 133 images were selected, containing DRIVE, STARE , CHASE_DB1 and HRF.The diabetic retinopathy dataset was derived from the data of the Kaggle Aptos2019 competition, and the diabetic retinopathy in each image was rated on a scale of 0 to 4: 0-normal (no DR), 1-mild, 2-moderate, 3-severe, and 4-proliferative DR, for a total of 366
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MTNet-datasets.rar
Published on (4 days ago)
A controlled experiment was conducted to test the performance of the CSP_UNet algorithm. In this paper, four commonly used retinal fundus image datasets with a total of 133 images were selected, containing DRIVE, STARE , CHASE_DB1 and HRF.The diabetic retinopathy dataset was derived from the data of the Kaggle Aptos2019 competition, and the diabetic retinopathy in each image was rated on a scale of 0 to 4: 0-normal (no DR), 1-mild, 2-moderate, 3-severe, and 4-proliferative DR, for a total of 366
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Deep-learning-based Segmentation of Fundus Photographs to Detect Central Serous Chorioretinopathy
Published on (4 days ago)
https://doi.org/10.1167/tvst.11.2.22 Simple Code Implementation for Deep Learning–Based Segmentation to Evaluate Central Serous Chorioretinopathy in Fundus Photography, TVST, 2022 We developed a pix2pix deep learning model for segmentation of subretinal fluid area in fundus photographs to detect central serous chorioretinopathy (CSC). The total dataset included fundus photographs and a segmentation image dataset from 194 eyes with CSC from the medical centers and publicly accessible datasets.
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Deep-learning-based Segmentation of Fundus Photographs to Detect Central Serous Chorioretinopathy
Published on (4 days ago)
We developed a pix2pix deep learning model for segmentation of subretinal fluid area in fundus photographs to detect central serous chorioretinopathy (CSC). The total dataset included fundus photographs and a segmentation image dataset from 194 eyes with CSC from the medical centers and publicly accessible datasets. Additionally, we recruited 93 fundus photographs of the healthy eyes from the same center to build a classification model to discriminate CSC from normal retina. Manual segmentati
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Deep-learning-based Segmentation of Fundus Photographs to Detect Central Serous Chorioretinopathy
Published on (4 days ago)
We developed a pix2pix deep learning model for segmentation of subretinal fluid area in fundus photographs to detect central serous chorioretinopathy (CSC). The total dataset included fundus photographs and a segmentation image dataset from 194 eyes with CSC from the medical centers and publicly accessible datasets. Additionally, we recruited 93 fundus photographs of the healthy eyes from the same center to build a classification model to discriminate CSC from normal retina. Manual segmentati
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Data for: Fréchet PDF based Matched Filter Approach for Retinal Blood Vessels Segmentation
Published on (4 days ago)
Here, two free and online publicly available databases: STARE and DRIVE for retinal blood vessels
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A CycleGAN deep learning technique for artifact reduction in fundus photography
Published on (4 days ago)
Herein, we present a deep learning technique to remove artifacts automatically in fundus photograph. By using a CycleGAN model, we synthesize the retinal images with artifact reduction based on low-quality image, and validated this technique in the independent test dataset. This study included total 2,206 anonymized retinal images. We collected the fundus photographs without qualification, which include normal and pathologic retinal images. Images including both photograph with and without artif
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Baseline characteristics of RRD group.
Published on (4 days ago)
ObjectiveTo test the applicability of deep learning models for detecting and staging rhegmatogenous retinal detachment (RRD) based on morphological features using two- and three-dimensional optical coherence tomography (OCT) scans.DesignRetrospective study using deep learning-based image classification analysis of 2D and 3D OCT scans combined with clinical baseline data.SubjectsAdult patients presenting to the University Medical Center Hamburg-Eppendorf in Germany.MethodsA total of 252 eyes with
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Baseline characteristics of patients.
Published on (4 days ago)
PurposeTo evaluate idiopathic epiretinal membrane (iERM) area changes and the association with visual function in patients with good vision, using confocal scanning laser ophthalmoscopy (cSLO).MethodsThe medical records of patients with iERM with best-corrected visual acuity (BCVA) ≥ 20/25 and a follow-up period ≥ 2 years were reviewed retrospectively. BCVA, metamorphopsia, fundus images using cSLO, and optical coherence tomography images were obtained at baseline and every 6 months. The ERM are
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Data.
Published on (4 days ago)
PurposeTo evaluate idiopathic epiretinal membrane (iERM) area changes and the association with visual function in patients with good vision, using confocal scanning laser ophthalmoscopy (cSLO).MethodsThe medical records of patients with iERM with best-corrected visual acuity (BCVA) ≥ 20/25 and a follow-up period ≥ 2 years were reviewed retrospectively. BCVA, metamorphopsia, fundus images using cSLO, and optical coherence tomography images were obtained at baseline and every 6 months. The ERM are
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Confusion matrix for MobileNet.
Published on (4 days ago)
Introduction:Retinal diseases, a significant global health concern, often lead to severe vision impairment and blindness, resulting in substantial functional and social limitations. This study explored a novel goal of developing and comparing the performance of multiple state-of-the-art convolutional neural network (CNN) models for the automated detection and classification of retinal diseases using optical coherence tomography (OCT) images.Method:The study utilized several models, including Den
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Confusion matrix for Inception V3.
Published on (4 days ago)
Introduction:Retinal diseases, a significant global health concern, often lead to severe vision impairment and blindness, resulting in substantial functional and social limitations. This study explored a novel goal of developing and comparing the performance of multiple state-of-the-art convolutional neural network (CNN) models for the automated detection and classification of retinal diseases using optical coherence tomography (OCT) images.Method:The study utilized several models, including Den
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Stare dataset
Published on (4 days ago)
The Stare dataset is a collection of 373 retinal images with a severity score assigned by a medical expert. The dataset is used to evaluate the performance of the distorted greedy algorithm and its randomized variant.
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Multi-Label Retinal Diseases (MuReD) Dataset
Published on (4 days ago)
Abstract: Early detection of retinal diseases is one of the most important means of preventing partial or permanent blindness in patients. One of the major stumbling blocks for manual retinal examination is the lack of a sufficient number of qualified medical personnel per capita to diagnose diseases. Computer-aided diagnosis systems (CAD) have proven to be very effective in helping physicians reduce the time taken to make a diagnosis and minimize variability in image interpretation. Still, they
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RetinaX dataset
Published on (4 days ago)
RetinaX dataset is built by selectively combining four publicly available datasets: the STARE dataset, ARIA dataset, RFMiD dataset, and RFMiD 2.0 dataset. It contains a total of 2,514 images and 24 distinct labels, covering nearly all common and rare retinal diseases. The label distribution and sample count are shown in the above figure, following a long-tail pattern, and includeing a wide range of disease status: DR (Diabetic Retinopathy), ODC (Optic Disc Cupping), MH (Media Haze), DN (Drusen),
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Multi-Label Retinal Diseases (MuReD) Dataset
Published on (4 days ago)
Abstract: Early detection of retinal diseases is one of the most important means of preventing partial or permanent blindness in patients. One of the major stumbling blocks for manual retinal examination is the lack of a sufficient number of qualified medical personnel per capita to diagnose diseases. Computer-aided diagnosis systems (CAD) have proven to be very effective in helping physicians reduce the time taken to make a diagnosis and minimize variability in image interpretation. Still, they
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Multi-Label Retinal Diseases (MuReD) Dataset
Published on (4 days ago)
Abstract: Early detection of retinal diseases is one of the most important means of preventing partial or permanent blindness in patients. One of the major stumbling blocks for manual retinal examination is the lack of a sufficient number of qualified medical personnel per capita to diagnose diseases. Computer-aided diagnosis systems (CAD) have proven to be very effective in helping physicians reduce the time taken to make a diagnosis and minimize variability in image interpretation. Still, they
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Multi-Label Retinal Disease (MuReD)
Published on (4 days ago)
Early detection of retinal diseases is one of the most important means of preventing partial or permanent blindness in patients. One of the major stumbling blocks for manual retinal examination is the lack of a sufficient number of qualified medical personnel per capita to diagnose diseases. Computer-aided diagnosis systems (CAD) have proven to be very effective in helping physicians reduce the time taken to make a diagnosis and minimize variability in image interpretation, but they are not flex
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A summary of the labeled images.
Published on (4 days ago)
A summary of the labeled images.
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Messidor dataset
Published on (4 days ago)
The Messidor dataset is a collection of 400 eye images with a severity score assigned by a medical expert. The dataset is used to evaluate the performance of the distorted greedy algorithm and its randomized variant.
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Advancing Bag-of-Visual-Words Representations for Lesion Classification in Retinal Images
Published on (4 days ago)
Diabetic Retinopathy (DR) is a complication of diabetes that can lead to blindness if not timely discovered. Automated screening algorithms have the potential to improve identification of patients who need further medical attention. However, the identification of lesions must be accurate to be useful for clinical application. The bag-of-visual-words (BoVW) algorithm employs a maximum-margin classifier in a flexible framework that is able to detect the most common DR-related lesions such as micro
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Advancing Bag-of-Visual-Words Representations for Lesion Classification in Retinal Images
Published on (4 days ago)
Diabetic Retinopathy (DR) is a complication of diabetes that can lead to blindness if not timely discovered. Automated screening algorithms have the potential to improve identification of patients who need further medical attention. However, the identification of lesions must be accurate to be useful for clinical application. The bag-of-visual-words (BoVW) algorithm employs a maximum-margin classifier in a flexible framework that is able to detect the most common DR-related lesions such as micro
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Advancing Bag-of-Visual-Words Representations for Lesion Classification in Retinal Images
Published on (4 days ago)
Diabetic Retinopathy (DR) is a complication of diabetes that can lead to blindness if not discovered in time. Automated screening algorithms have the potential to improve identification of patients who need further medical attention. However, the algorithms must be accurate in order to be useful for clinical application. The bag-of-visual-words (BoVW) algorithm utilizes a maximum-margin binary classifier in a flexible framework that is able to detect the most common DR-related lesions such as mi
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Corneal differences between healthy and subclinical patients assessed using two diferente corneal tomographers
Published on (4 days ago)
ABSTRACT Purpose: To analyze subclinical keratoconus topography indexes using Pentacam and Orbscan-II measurements to identify evidences for seeking sensitive indexes to screen and diagnose subclinical keratoconus. Methods: Fifty healthy participants (50 eyes) and 40 patients with subclinical keratoconus (40 eyes) were included. Seven common parameters including corneal thickness at the thinnest point; minimum curvature of the front surface (minimum simulated keratometry value, SimK’s Min); maxi
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Belin/Ambrósio Enhanced Ectasia Display in cataract surgery and relation to final visual acuity
Published on (4 days ago)
ABSTRACT Objective To analyze and describe the coefficients found on maximum Ambrósio Relational Thickness-Maximum (ART-Max) and Belin/Ambrósio Enhanced Ectasia Display total deviation (BAD-D) in eyes with normal corneal topography subjected to cataract surgery with premium intraocular lens implantation and correlated these data with final visual acuity. Methods ART-Max and BAD-D data from 103 eyes of patients subjected to implantation of diffractive bifocal intraocular lens, with normal corneal
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Anterior chamber characteristics assessed by rotating Scheimpflug imaging in patients with retinitis pigmentosa
Published on (4 days ago)
ABSTRACT Purpose: The aim of this study was to evaluate anterior segment parameters and corneal aberrations in patients with retinitis pigmentosa using Scheimpflug imaging and to compare the findings with those for healthy controls. Methods: This single-center, case-control study included patients diagnosed with retinitis pigmentosa who were followed up at the Department of Ophthalmology of Kayseri Training and Research Hospital between February and June 2018. Age- and sex-matched healthy indivi
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Handcrafted features for fundus image classification
Published on (4 days ago)
This dataset contains the hand-crafted features extracted for a number of images originating from the following public datasets: Kaggle DR and Messidor datasets,Indian Diabetic Retinopathy Image Dataset (IDRiD).
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Red lesion localization for MESSIDOR retinal images dataset using patch-based convolutional neural networks.
Published on (4 days ago)
Red lesion localization for MESSIDOR retinal images dataset using patch-based convolutional neural networks.
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MESSIDOR With Lesion Annotations
Published on (4 days ago)
This dataset is derived from the original MESSIDOR dataset, enhanced with annotations for 10 pathological lesions and laser photocoagulation scars commonly observed in diabetic retinopathy. The annotated lesions include microaneurysms, dot and blot hemorrhages, cotton wool spots, intra-retinal microvascular abnormalities, venous looping, new vessels at the disc, new vessels elsewhere, hard exudates, fibrous proliferans, and pre-retinal or vitreous hemorrhage. The dataset serves as a valuable res
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<b>MCOA: A Comprehensive Multimodal Dataset for Advancing Deep Learning in Corneal Opacity Assessment</b>
Published on (4 days ago)
The dataset includes 131 eyes from 116 patients with corneal opacity and 205 eyes from 158 patients with clear corneas, totaling 5,376 AS-OCT images and 336 corresponding anterior segment photographs. Each image was carefully annotated to include detailed corneal and corneal opacity information.
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Table_1_Three-Dimensional Multi-Task Deep Learning Model to Detect Glaucomatous Optic Neuropathy and Myopic Features From Optical Coherence Tomography Scans: A Retrospective Multi-Centre Study.DOCX
Published on (4 days ago)
PurposeWe aim to develop a multi-task three-dimensional (3D) deep learning (DL) model to detect glaucomatous optic neuropathy (GON) and myopic features (MF) simultaneously from spectral-domain optical coherence tomography (SDOCT) volumetric scans.MethodsEach volumetric scan was labelled as GON according to the criteria of retinal nerve fibre layer (RNFL) thinning, with a structural defect that correlated in position with the visual field defect (i.e., reference standard). MF were graded by the S
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MESSIDOR
Published on (4 days ago)
The dataset is used for simultaneous segmentation of multi-anatomical retinal structures using a multi-task deep neural network.
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Fractal evaluation in retinographies of individuals with different grades of diabetic retinopathy
Published on (4 days ago)
ABSTRACT Purpose To evaluate the retinal blood vascular network of the retinographies of patients with different grades of diabetic retinopathy. Methods Ninety Retinographies (MESSIDOR database) were used, with different grades of diabetic retinopathy divided into 4 groups: no retinopathy (n=23), grade one (n=20), grade two (n=20) and grade three (n=27) diabetic retinopathy. The grades of diabetic retinopathy were classified according to the number of microaneurysms, number of hemorrhages and th
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Fractal evaluation in retinographies of individuals with different grades of diabetic retinopathy
Published on (4 days ago)
ABSTRACT Purpose To evaluate the retinal blood vascular network of the retinographies of patients with different grades of diabetic retinopathy. Methods Ninety Retinographies (MESSIDOR database) were used, with different grades of diabetic retinopathy divided into 4 groups: no retinopathy (n=23), grade one (n=20), grade two (n=20) and grade three (n=27) diabetic retinopathy. The grades of diabetic retinopathy were classified according to the number of microaneurysms, number of hemorrhages and th
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RIGA+ Dataset for Unsupervised Domain Adaptation in Medical Image Segmentation
Published on (4 days ago)
Different from the previous combined multi-domain dataset for unsupervised domain adaptation (UDA) in medical image segmentation, this multi-domain fundus image dataset contains annotations made by the same group of ophthalmologists. Hence the annotator bias among different datasets can be mitigated. Therefore, this dataset can provide a relatively fair benchmark for evaluating UDA methods in fundus image segmentation. This dataset is based on the RIGA[1] dataset and MESSIDOR[2] dataset. We appr
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Data distribution.
Published on (4 days ago)
Retinal images play a pivotal contribution to the diagnosis of various ocular conditions by ophthalmologists. Extensive research was conducted to enable early detection and timely treatment using deep learning algorithms for retinal fundus images. Quick diagnosis and treatment planning can be facilitated by deep learning models’ ability to process images rapidly and deliver outcomes instantly. Our research aims to provide a non-invasive method for early detection and timely eye disease treatment
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Diabetic Retinopathy Classifications.
Published on (4 days ago)
IntroductionThe Brazilian Multilabel Ophthalmological Dataset (BRSET) addresses the scarcity of publicly available ophthalmological datasets in Latin America. BRSET comprises 16,266 color fundus retinal photos from 8,524 Brazilian patients, aiming to enhance data representativeness, serving as a research and teaching tool. It contains sociodemographic information, enabling investigations into differential model performance across demographic groups.MethodsData from three São Paulo outpatient cen
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Quality assessment parameters.
Published on (4 days ago)
IntroductionThe Brazilian Multilabel Ophthalmological Dataset (BRSET) addresses the scarcity of publicly available ophthalmological datasets in Latin America. BRSET comprises 16,266 color fundus retinal photos from 8,524 Brazilian patients, aiming to enhance data representativeness, serving as a research and teaching tool. It contains sociodemographic information, enabling investigations into differential model performance across demographic groups.MethodsData from three São Paulo outpatient cen
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Transformations performed for data augmentation.
Published on (4 days ago)
Age-related macular degeneration (AMD) is an eye disease that leads to the deterioration of the central vision area of the eye and can gradually result in vision loss in elderly individuals. Early identification of this disease can significantly impact patient treatment outcomes. Furthermore, given the increasing elderly population globally, the importance of automated methods for rapidly monitoring at-risk individuals and accurately diagnosing AMD is growing daily. One standard method for diagn
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Handcrafted features for fundus image classification
Published on (4 days ago)
This dataset contains the hand-crafted features extracted for a number of images originating from the following public datasets: Kaggle DR and Messidor datasets,Indian Diabetic Retinopathy Image Dataset (IDRiD).
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Handcrafted features for fundus image classification
Published on (4 days ago)
This dataset contains the hand-crafted features extracted for a number of images originating from the following public datasets: Kaggle DR and Messidor datasets,Indian Diabetic Retinopathy Image Dataset (IDRiD).
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Advancing Bag-of-Visual-Words Representations for Lesion Classification in Retinal Images
Published on (4 days ago)
Diabetic Retinopathy (DR) is a complication of diabetes that can lead to blindness if not timely discovered. Automated screening algorithms have the potential to improve identification of patients who need further medical attention. However, the identification of lesions must be accurate to be useful for clinical application. The bag-of-visual-words (BoVW) algorithm employs a maximum-margin classifier in a flexible framework that is able to detect the most common DR-related lesions such as micro
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A correlation study between a corneal endothelial count in patients with different stages of keratoconus using specular microscopy
Published on (4 days ago)
ABSTRACT Objective: To evaluate the corneal endothelial count in patients with keratoconus (KCN) by specular microscopy and correlate with the stage of keratoconus. Methods: Ninety-three eyes from 61 patients with KCN were included in this cross-sectional study. The eyes were classified into KCN stages 1 to 4 according to the Amsler-Krumeich classification using keratometry obtained by corneal topography and pachymetry readings obtained by specular microscopy. Results: Age ranged from 12 to 43 y
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Baseline characteristics.
Published on (4 days ago)
BackgroundDiabetic retinopathy (DR) is a leading cause of blindness globally. The gold standard for DR screening is stereoscopic colour fundus photography with tabletop cameras. VistaView is a novel smartphone-based retinal camera which offers mydriatic retinal imaging. This study compares the diagnostic accuracy of the smartphone-based VistaView camera compared to a traditional desk mounted fundus camera (Triton Topcon). We also compare the agreement between graders for DR screening between Vis
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Red lesion localization for MESSIDOR retinal images dataset using patch-based convolutional neural networks.
Published on (4 days ago)
Red lesion localization for MESSIDOR retinal images dataset using patch-based convolutional neural networks.
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Indian Diabetic Retinopathy Image Dataset (IDRiD)
Published on (4 days ago)
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IDRID
Published on (4 days ago)
The dataset used for medical image synthesis using Generative Adversarial Networks (GANs).
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Diabetic Macular Edema VQA Dataset
Published on (4 days ago)
Medical VQA dataset built from the IDRiD and eOphta datasets. The dataset contains both healthy and unhealthy fundus images. For each image, a set of pre-defined questions is generated, including questions about regions (e.g. are there hard exudates in this region?), for which an associated mask denotes the location of the region. The motivation for this dataset includes the lack of public medical VQA datasets with related questions. In our dataset, questions are related because there is a high-
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Diabetic Macular Edema VQA Dataset
Published on (4 days ago)
Medical VQA dataset built from the IDRiD and eOphta datasets. The dataset contains both healthy and unhealthy fundus images. For each image, a set of pre-defined questions is generated, including questions about regions (e.g. are there hard exudates in this region?), for which an associated mask denotes the location of the region. The motivation for this dataset includes the lack of public medical VQA datasets with related questions. In our dataset, questions are related because there is a high-
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Confusion matrix for Dense121.
Published on (4 days ago)
Introduction:Retinal diseases, a significant global health concern, often lead to severe vision impairment and blindness, resulting in substantial functional and social limitations. This study explored a novel goal of developing and comparing the performance of multiple state-of-the-art convolutional neural network (CNN) models for the automated detection and classification of retinal diseases using optical coherence tomography (OCT) images.Method:The study utilized several models, including Den
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REFUGE-2
Published on (4 days ago)
The REFUGE-2 dataset is an active challenge on classification of clinical Glaucoma.
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Retinal Fundus Glaucoma Image dataset
Published on (4 days ago)
Z. Zhang et al ., "ORIGA-light: An online retinal fundus image database for glaucoma analysis and research," 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology , Buenos Aires, Argentina, 2010, pp. 3065-3068, doi: 10.1109/IEMBS.2010.5626137.Huazhu Fu, Fei Li, José Ignacio Orlando, Hrvoje Bogunović, Xu Sun, Jingan Liao, Yanwu Xu, Shaochong Zhang, Xiulan Zhang, July 9, 2019, "REFUGE: Retinal Fundus Glaucoma Challenge", IEEE Dataport, doi: https://dx.doi
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Topoguided laser as a reducer of optical aberrations after radial keratotomy and multifocal LIO
Published on (4 days ago)
Abstract Cataract surgery with intraocular lens implantation is one of the most commonly performed surgeries in the world and, currently, patients who undergo this surgery can use the multifocal intraocular lens (IOL) implant as an alternative to wearing glasses. A great challenge for the surgeon are patients who have previously undergone radial keratotomy (RK), because in addition to having a more challenging biometric calculation, they also have important corneal optical aberrations, being a c
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Topoguided laser as a reducer of optical aberrations after radial keratotomy and multifocal LIO
Published on (4 days ago)
Abstract Cataract surgery with intraocular lens implantation is one of the most commonly performed surgeries in the world and, currently, patients who undergo this surgery can use the multifocal intraocular lens (IOL) implant as an alternative to wearing glasses. A great challenge for the surgeon are patients who have previously undergone radial keratotomy (RK), because in addition to having a more challenging biometric calculation, they also have important corneal optical aberrations, being a c
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Role of anterior segment optical coherence tomography in scleral diseases: A review
Published on (4 days ago)
Background: Scleritis and episcleritis are an overlapping spectrum of diseases and accurate diagnosis is of utmost importance as the treatment and prognosis are vastly different. Predominantly a clinical diagnosis, the challenge lies in those cases with equivocal clinical features. Furthermore, clinical grading of scleritis is subjective and hence is neither very reliable nor reproducible. Existing modalities such as slit lamp examination and clinical photographs in scleritis describe macroanato
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<i>SLID-E: Slit Lamp Image Dataset for Epiphora - A Benchmark Resource for Automated Tear Overflow Analysis</i>
Published on (4 days ago)
We introduce SLID-E (Slit Lamp Imaging Dataset for Epiphora), the first comprehensive dataset for epiphora grading using slit lamp photographs. The dataset comprises 2,999 high-quality images from 1,563 patients, annotated by expert ophthalmologists into four categories: normal, mild, moderate, and severe epiphora.
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<i>SLID-E: Slit Lamp Image Dataset for Epiphora - A Benchmark Resource for Automated Tear Overflow Analysis</i>
Published on (4 days ago)
We introduce SLID-E (Slit Lamp Imaging Dataset for Epiphora), the first comprehensive dataset for epiphora grading using slit lamp photographs. The dataset comprises 2,999 high-quality images from 1,563 patients, annotated by expert ophthalmologists into four categories: normal, mild, moderate, and severe epiphora.
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Diabetic Glaucoma(ORIGA,REFUGE,ACRIMA)
Published on (4 days ago)
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Diabetic Glaucoma(ORIGA,REFUGE,ACRIMA)
Published on (4 days ago)
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PALM and Eyepacs datasets
Published on (4 days ago)
The PALM and Eyepacs datasets are used for fundus disease localization. The PALM dataset contains 1200 standardized fundus images, divided into three groups: training, validation, and testing, each group containing 400 images. The Eyepacs dataset contains 35,126 diabetic retinal fundus images, with pixel sizes ranging from 433 × 289 pixels to 5184 × 3456 pixels.
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Rotterdam EyePACS AIROGS train set
Published on (4 days ago)
The Rotterdam EyePACS AIROGS train set contains 101,442 color fundus images from 54,274 subjects and approximately 500 different sites with a heterogeneous ethnicity. All images were assigned by human experts with the labels referable glaucoma, no referable glaucoma, or ungradable. This dataset contains the data for training data of the AIROGS challenge, which is held as part of ISBI 2022. See https://airogs.grand-challenge.org/ for more information on the still ongoing challenge. The paper that
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Data_Sheet_1_Diabetic Macular Edema Detection Using End-to-End Deep Fusion Model and Anatomical Landmark Visualization on an Edge Computing Device.pdf
Published on (4 days ago)
PurposeDiabetic macular edema (DME) is a common cause of vision impairment and blindness in patients with diabetes. However, vision loss can be prevented by regular eye examinations during primary care. This study aimed to design an artificial intelligence (AI) system to facilitate ophthalmology referrals by physicians.MethodsWe developed an end-to-end deep fusion model for DME classification and hard exudate (HE) detection. Based on the architecture of fusion model, we also applied a dual model
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<i>SLID-E: Slit Lamp Image Dataset for Epiphora - A Benchmark Resource for Automated Tear Overflow Analysis</i>
Published on (4 days ago)
We introduce SLID-E (Slit Lamp Imaging Dataset for Epiphora), the first comprehensive dataset for epiphora grading using slit lamp photographs. The dataset comprises 2,999 high-quality images from 1,563 patients, annotated by expert ophthalmologists into four categories: normal, mild, moderate, and severe epiphora.
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Kaggle-EyePACS
Published on (4 days ago)
A public diabetic retinopathy dataset containing 88,702 images with image-level grading labels.
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Glaucoma Dataset: EyePACS-AIROGS-light-V2
Published on (4 days ago)
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JustRAIGS challenge training data set
Published on (4 days ago)
The image data was provided by EyePACS LLC, Santa Cruz, CA, USA. Labels were provided by the Rotterdam Ophthalmic Institute, Rotterdam Eye Hospital, Rotterdam, The Netherlands. The JustRAIGS dataset is divided into a training subset with 101,442 gradable fundus images, spanning both referable and no referable glaucomatous cases. For more information about the dataset please see this paper. The training set, named JustRAIGS Dataset, is publicly available under a CC BY-NC-SA license. See https:
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JustRAIGS challenge training data set
Published on (4 days ago)
The image data was provided by EyePACS LLC, Santa Cruz, CA, USA. Labels were provided by the Rotterdam Ophthalmic Institute, Rotterdam Eye Hospital, Rotterdam, The Netherlands. The JustRAIGS dataset is divided into a training subset with 101,442 gradable fundus images, spanning both referable and no referable glaucomatous cases. For more information about the dataset please see this paper. The training set, named JustRAIGS Dataset, is publicly available under a CC BY-NC-SA license. See https:
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All datasets are categorized into five distinct groups based on the severity levels of DR present in the fundus images.
Published on (4 days ago)
Here, “0” stands for No DR, “1” stands for Mild NPDR, “2” stands for Moderate NPDR, “3” stands for Severe NPDR, and “4” stands for PDR.
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Cameras in use at each institution.
Published on (4 days ago)
The estimation of central choroidal thickness from colour fundus images can improve disease detection. We developed a deep learning method to estimate central choroidal thickness from colour fundus images at a single institution, using independent datasets from other institutions for validation. A total of 2,548 images from patients who underwent same-day optical coherence tomography examination and colour fundus imaging at the outpatient clinic of Jichi Medical University Hospital were retrospe
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Glaucoma Dataset: EyePACS-AIROGS-light-V2
Published on (4 days ago)
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Glaucoma Dataset: EyePACS-AIROGS-light-V2
Published on (4 days ago)
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Glaucoma Dataset: EyePACS-AIROGS-light-V2
Published on (4 days ago)
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Supplementary Material for: Optic Nerve Head Microcirculation in Eyes with Vogt-Koyanagi-Harada Disease Accompanied by Anterior Ischemic Optic Neuropathy
Published on (4 days ago)
Anterior ischemic optic neuropathy (AION) is infrequently complicated with Vogt-Koyanagi-Harada (VKH) disease. We quantitatively examined sequential changes in the morphology and circulation hemodynamics, using a C-scan of optical coherence tomography (OCT) and laser speckle flowgraphy (LSFG) in a patient with VKH disease accompanied by AION. A 65-year-old female complained of blurred vision in both of her eyes. The patient presented with optic disc swelling and remarkable choroidal thickening d
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Glaucoma Dataset: EyePACS-AIROGS-light-V2
Published on (4 days ago)
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Rotterdam EyePACS AIROGS train set
Published on (4 days ago)
The Rotterdam EyePACS AIROGS train set contains 101,442 color fundus images from 54,274 subjects and approximately 500 different sites with a heterogeneous ethnicity. All images were assigned by human experts with the labels referable glaucoma, no referable glaucoma, or ungradable. This dataset contains the data for training data of the AIROGS challenge, which is held as part of ISBI 2022. See https://airogs.grand-challenge.org/ for more information on the still ongoing challenge. The paper that
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EyePacs Split (Diabetic Retinopathy Detection)
Published on (4 days ago)
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Diagnosing Glaucoma Progression With Visual Field Data Using a Spatiotemporal Boundary Detection Method
Published on (4 days ago)
Diagnosing glaucoma progression is critical for limiting irreversible vision loss. A common method for assessing glaucoma progression uses a longitudinal series of visual fields (VFs) acquired at regular intervals. VF data are characterized by a complex spatiotemporal structure due to the data generating process and ocular anatomy. Thus, advanced statistical methods are needed to make clinical determinations regarding progression status. We introduce a spatiotemporal boundary detection model tha
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Supplementary Material for: The feasibility of using ultra-widefield retinal imaging to identify ocular pathologies amongst those with systemic medical disease attending tertiary healthcare facility a
Published on (4 days ago)
Aims To evaluate the feasibility of ultra-widefield (UWF) imaging to identify ocular pathologies amongst in- and out-patients in a tertiary university hospital. Methods Prospective double-blinded multicenter clinical study. In total, 634 patients from a University Hospital with pulmonary, cardiovascular and endocrine diseases were examined by two teams by conventional slit-lamp biomicroscopy (CBM). UWF images with Optos Tx200 were recorded and graded independently by two retina specialists, and
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Glaucoma Dataset: EyePACS AIROGS - Light
Published on (4 days ago)
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Rotterdam EyePACS AIROGS train set - Part 1/2
Published on (4 days ago)
The Rotterdam EyePACS AIROGS train set contains 101,442 color fundus images from 54,274 subjects and approximately 500 different sites with a heterogeneous ethnicity. All images were assigned by human experts with the labels referable glaucoma, no referable glaucoma, or ungradable. This dataset contains the data for training data of the AIROGS challenge, which is held as part of ISBI 2022. See https://airogs.grand-challenge.org/ for more information.
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Rotterdam EyePACS AIROGS train set - Part 2/2
Published on (4 days ago)
This version of the dataset is deprecated. Please use https://zenodo.org/record/5793241. The Rotterdam EyePACS AIROGS train set contains 101,442 color fundus images from 54,274 subjects and approximately 500 different sites with a heterogeneous ethnicity. All images were assigned by human experts with the labels referable glaucoma, no referable glaucoma, or ungradable. This dataset contains the data for training data of the AIROGS challenge, which is held as part of ISBI 2022. See https
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Rotterdam EyePACS AIROGS train set - Part 2/2
Published on (4 days ago)
This version of the dataset is deprecated. Please use https://zenodo.org/record/5793241. The Rotterdam EyePACS AIROGS train set contains 101,442 color fundus images from 54,274 subjects and approximately 500 different sites with a heterogeneous ethnicity. All images were assigned by human experts with the labels referable glaucoma, no referable glaucoma, or ungradable. This dataset contains the data for training data of the AIROGS challenge, which is held as part of ISBI 2022. See https
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Supplementary Material for: The feasibility of using ultra-widefield retinal imaging to identify ocular pathologies amongst those with systemic medical disease attending tertiary healthcare facility a
Published on (4 days ago)
Aims To evaluate the feasibility of ultra-widefield (UWF) imaging to identify ocular pathologies amongst in- and out-patients in a tertiary university hospital. Methods Prospective double-blinded multicenter clinical study. In total, 634 patients from a University Hospital with pulmonary, cardiovascular and endocrine diseases were examined by two teams by conventional slit-lamp biomicroscopy (CBM). UWF images with Optos Tx200 were recorded and graded independently by two retina specialists, and
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Role of anterior segment optical coherence tomography in scleral diseases: A review
Published on (4 days ago)
Background: Scleritis and episcleritis are an overlapping spectrum of diseases and accurate diagnosis is of utmost importance as the treatment and prognosis are vastly different. Predominantly a clinical diagnosis, the challenge lies in those cases with equivocal clinical features. Furthermore, clinical grading of scleritis is subjective and hence is neither very reliable nor reproducible. Existing modalities such as slit lamp examination and clinical photographs in scleritis describe macroanato
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Aptos dataset
Published on (4 days ago)
The Aptos dataset is a collection of 705 retinal images with a severity score assigned by a medical expert. The dataset is used to evaluate the performance of the distorted greedy algorithm and its randomized variant.
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APTOS 2019 Blindness Detection
Published on (4 days ago)
Blindness Detection dataset
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Anterior segment optical coherence tomography findings in type I Boston keratoprosthesis
Published on (4 days ago)
ABSTRACT Purpose: To report the results of high-resolution anterior segment optical coherence tomography of patients implanted with a type 1 Boston keratoprosthesis (KPro). Methods: The retrospective study cohort included 11 eyes of 11 patients (average age, 58.4 years; range, 34-83 years). All subjects underwent anterior segment optical coherence tomography at a single posteoperative time point. The main outcome measures were retro-backplate and retro-optic membrane formation, thinning and gap
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Anterior segment optical coherence tomography findings in type I Boston keratoprosthesis
Published on (4 days ago)
ABSTRACT Purpose: To report the results of high-resolution anterior segment optical coherence tomography of patients implanted with a type 1 Boston keratoprosthesis (KPro). Methods: The retrospective study cohort included 11 eyes of 11 patients (average age, 58.4 years; range, 34-83 years). All subjects underwent anterior segment optical coherence tomography at a single posteoperative time point. The main outcome measures were retro-backplate and retro-optic membrane formation, thinning and gap
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Anterior chamber characteristics assessed by rotating Scheimpflug imaging in patients with retinitis pigmentosa
Published on (4 days ago)
ABSTRACT Purpose: The aim of this study was to evaluate anterior segment parameters and corneal aberrations in patients with retinitis pigmentosa using Scheimpflug imaging and to compare the findings with those for healthy controls. Methods: This single-center, case-control study included patients diagnosed with retinitis pigmentosa who were followed up at the Department of Ophthalmology of Kayseri Training and Research Hospital between February and June 2018. Age- and sex-matched healthy indivi
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Table_2_Optical Coherence Tomography Reveals Longitudinal Changes in Retinal Damage Under Different Treatments for Neuromyelitis Optica Spectrum Disorder.DOCX
Published on (4 days ago)
Background: Progressive retinal neuroaxonal damage after acute optic neuritis may occur in neuromyelitis optica spectrum disorder (NMOSD). However, it is unclear if treatments used to prevent attacks influence neurodegeneration.Objectives: We aimed to investigate retinal damage in patients treated with disease-modifying drugs in a longitudinal study.Methods: We retrospectively included 50 patients with aquaporin 4-antibody-seropositive NMOSD. Peripapillary retinal nerve fiber layer (pRNFL) thick
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APTOS 2019 blindness detection competition dataset
Published on (4 days ago)
The APTOS 2019 blindness detection competition dataset is used for training and testing the proposed Frequency Domain Convolutional Neural Network (FDCNN) architecture.
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APTOS
Published on (4 days ago)
APTOS dataset is a medical image dataset containing 38,788 images of retinas.
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Neuronal Transfer Networks (Trainings)
Published on (4 days ago)
Training versions of the AlexNet Convolutional Neural Network (CNN), related to the evaluation of eye diseases. -The following datasets were used in this work: LAG. Contains fundus images with positive and negative glaucoma samples obtained from Beijing Tongren Hospital. Each fundus image is diagnosed by qualified glaucoma specialists, taking into consideration of both morphologic and functional analysis. https://arxiv.org/abs/1903.10831 APTOS. Contains images o
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Neuronal Transfer Networks (Trainings)
Published on (4 days ago)
Training versions of the AlexNet Convolutional Neural Network (CNN), related to the evaluation of eye diseases. -The following datasets were used in this work: LAG. Contains fundus images with positive and negative glaucoma samples obtained from Beijing Tongren Hospital. Each fundus image is diagnosed by qualified glaucoma specialists, taking into consideration of both morphologic and functional analysis. https://arxiv.org/abs/1903.10831 APTOS. Contains images o
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Anterior chamber characteristics assessed by rotating Scheimpflug imaging in patients with retinitis pigmentosa
Published on (4 days ago)
ABSTRACT Purpose: The aim of this study was to evaluate anterior segment parameters and corneal aberrations in patients with retinitis pigmentosa using Scheimpflug imaging and to compare the findings with those for healthy controls. Methods: This single-center, case-control study included patients diagnosed with retinitis pigmentosa who were followed up at the Department of Ophthalmology of Kayseri Training and Research Hospital between February and June 2018. Age- and sex-matched healthy indivi
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Disease-wise comparison of model performance.
Published on (4 days ago)
Introduction:Retinal diseases, a significant global health concern, often lead to severe vision impairment and blindness, resulting in substantial functional and social limitations. This study explored a novel goal of developing and comparing the performance of multiple state-of-the-art convolutional neural network (CNN) models for the automated detection and classification of retinal diseases using optical coherence tomography (OCT) images.Method:The study utilized several models, including Den
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KERATOCONUS WITH PENTACAM INDICES
Published on (4 days ago)
KERATOCONUS WITH PENTACAM INDICES
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POSTSURGERY ABERROMETRY
Published on (4 days ago)
CORNEAL ABERRATIONS AFTER LASER SURGERY
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KERATOCONUS WITH PENTACAM INDICES
Published on (4 days ago)
KERATOCONUS WITH PENTACAM INDICES
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Belin/Ambrósio Enhanced Ectasia Display in cataract surgery and relation to final visual acuity
Published on (4 days ago)
ABSTRACT Objective To analyze and describe the coefficients found on maximum Ambrósio Relational Thickness-Maximum (ART-Max) and Belin/Ambrósio Enhanced Ectasia Display total deviation (BAD-D) in eyes with normal corneal topography subjected to cataract surgery with premium intraocular lens implantation and correlated these data with final visual acuity. Methods ART-Max and BAD-D data from 103 eyes of patients subjected to implantation of diffractive bifocal intraocular lens, with normal corneal
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A correlation study between a corneal endothelial count in patients with different stages of keratoconus using specular microscopy
Published on (4 days ago)
ABSTRACT Objective: To evaluate the corneal endothelial count in patients with keratoconus (KCN) by specular microscopy and correlate with the stage of keratoconus. Methods: Ninety-three eyes from 61 patients with KCN were included in this cross-sectional study. The eyes were classified into KCN stages 1 to 4 according to the Amsler-Krumeich classification using keratometry obtained by corneal topography and pachymetry readings obtained by specular microscopy. Results: Age ranged from 12 to 43 y
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Anterior chamber characteristics assessed by rotating Scheimpflug imaging in patients with retinitis pigmentosa
Published on (4 days ago)
ABSTRACT Purpose: The aim of this study was to evaluate anterior segment parameters and corneal aberrations in patients with retinitis pigmentosa using Scheimpflug imaging and to compare the findings with those for healthy controls. Methods: This single-center, case-control study included patients diagnosed with retinitis pigmentosa who were followed up at the Department of Ophthalmology of Kayseri Training and Research Hospital between February and June 2018. Age- and sex-matched healthy indivi
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Minimal dataset for the Casia 2 anterior segment OCT repeatability study
Published on (4 days ago)
This dataset contains repeat measurements in 300 eyes performed with the Tomey Casia2 anterior segment OCT. The special focus is set to the multivariate analysis of the power vectors including front and back surface measurements, RealPower, and the Fourier decoposition of the corneal front & back surface and RealPower data evaluated within the 3 and 6 mm zone
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Minimal dataset for the Casia 2 anterior segment OCT repeatability study
Published on (4 days ago)
This dataset contains repeat measurements in 300 eyes performed with the Tomey Casia2 anterior segment OCT. The special focus is set to the multivariate analysis of the power vectors including front and back surface measurements, RealPower, and the Fourier decoposition of the corneal front & back surface and RealPower data evaluated within the 3 and 6 mm zone
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Supplementary Material for: Measurement of the Lower Lid Margin Thickness by Anterior Segment Optical Coherence Tomography
Published on (4 days ago)
Purpose: To verify the feasibility of using anterior segment optical coherence tomography (AS-OCT) to measure the lower lid margin thickness (LLMT) from posterior lash line to the mucocutaneous junction. Methods: This was a prospective, single-center, observational study. Fifty-six volunteers between 20 and 79 years old with normal healthy eyes were included in this study. Using AS-OCT to measure the LLMT at the middle position was separately performed by two operator
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Data for "Prediction of Phakic Intraocular Lens Vault Using Machine Learning of Anterior Segment Optical Coherence Tomography Metrics"
Published on (4 days ago)
Prediction of Phakic Intraocular Lens Vault Using Machine Learning of Anterior Segment Optical Coherence Tomography Metrics. Authors: Kazutaka Kamiya, MD, PhD, Ik Hee Ryu, MD, MS, Tae Keun Yoo, MD, Jung Sub Kim MD, In Sik Lee, MD, PhD, Jin Kook Kim MD, Wakako Ando CO, Nobuyuki Shoji, MD, PhD, Tomofusa, Yamauchi, MD, PhD, Hitoshi Tabuchi, MD, PhD. We hypothesize that machine learning of preoperative biometric data obtained by the As-OCT may be clinically beneficial for predicting the actual ICL v
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Supplementary Material for: Dissecting Aortic Aneurysm 55 Years after Diagnosis of Iris Flocculi
Published on (4 days ago)
Purpose: The aim of this study is to report the clinical features, imaging studies, surgical removal, and pathology of congenital iris flocculi in a patient who developed a life-threatening dissecting aortic aneurysm after 55 years of follow-up. Methods: Documentation with iris photography was performed from age 18 to 55 years, at which time anterior segment optical coherence tomography (OCT) was performed. At the time of subsequent cataract surgery, the iris flocculi
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MCOA: A Comprehensive Multimodal Dataset for Advancing Deep Learning in Corneal Opacity Assessment
Published on (4 days ago)
The dataset included a total of 6,272 AS-OCT images and 392 corresponding anterior segment photographs. Each image of patients with corneal opacity was carefully annotated to include detailed cornea and corneal opacity information.
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MCOA: A Comprehensive Multimodal Dataset for Advancing Deep Learning in Corneal Opacity Assessment
Published on (4 days ago)
The dataset included a total of 6,272 AS-OCT images and 392 corresponding anterior segment photographs. Each image of patients with corneal opacity was carefully annotated to include detailed cornea and corneal opacity information.
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Agreement of anterior segment measurements between Scheimpflug and swept-source OCT based instruments.
Published on (4 days ago)
Descriptive values for WTW and ACD obtained with Anterion, Pentacam and IOL Master.
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Agreement of anterior segment measurements between Scheimpflug and swept-source OCT based instruments.
Published on (4 days ago)
Descriptive values for WTW and ACD obtained with Anterion, Pentacam and IOL Master.
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In Vivo Analysis and Comparison of Anterior Segment Structures of Both Eyes in Unilateral Herpetic Anterior Uveitis
Published on (4 days ago)
ABSTRACT Purpose: To compare the Schlemm’s canal area (SCA) and to define iris features in patients with unilateral herpetic anterior uveitis (HAU) by using anterior segment spectral-domain optical coherence tomography (AS SD-OCT). Methods: Unilateral HAU cases that had been in complete remission for ≥ 3 months were included. Two investigators analyzed the iris features of HAU. SCA in both healthy (N), and affected eyes (HAU) were compared. Results: The mean age of the participants (n = 22) was
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<b>MCOA: A Comprehensive Multimodal Dataset for Advancing Deep Learning in Corneal Opacity Assessment</b>
Published on (4 days ago)
The dataset includes 131 eyes from 116 patients with corneal opacity and 205 eyes from 158 patients with clear corneas, totaling 5,376 AS-OCT images and 336 corresponding anterior segment photographs. Each image was carefully annotated to include detailed corneal and corneal opacity information.
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Ablation experiments on the DRIVE dataset.
Published on (4 days ago)
Retinal blood vessels are of different sizes and shapes, and even contain very fine capillaries with complex structural morphology, making accurate segmentation a difficult task. To address the above problems, we propose an improved retinal segmentation method DMSU-Net++ (Double Multiscale U-Net++) based on U-Net++. The method innovatively introduces a multiscale feature extraction module WTSAFM, which realises multiscale feature extraction via wavelet transform, and can capture image informatio
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Evaluation indicator.
Published on (4 days ago)
Retinal blood vessels are of different sizes and shapes, and even contain very fine capillaries with complex structural morphology, making accurate segmentation a difficult task. To address the above problems, we propose an improved retinal segmentation method DMSU-Net++ (Double Multiscale U-Net++) based on U-Net++. The method innovatively introduces a multiscale feature extraction module WTSAFM, which realises multiscale feature extraction via wavelet transform, and can capture image informatio
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Summary of related work.
Published on (4 days ago)
In response to the growing number of diabetes cases worldwide, Our study addresses the escalating issue of diabetic eye disease (DED), a significant contributor to vision loss globally, through a pioneering approach. We propose a novel integration of a Genetic Grey Wolf Optimization (G-GWO) algorithm with a Fully Convolutional Encoder-Decoder Network (FCEDN), further enhanced by a Kernel Extreme Learning Machine (KELM) for refined image segmentation and disease classification. This innovative co
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Evaluating the Effectiveness of Laser Peripheral Iridotomy on Angle-Closure Diseases: The Role of Spectral Domain Anterior Segment Optical Coherence Tomography (SD AS-OCT) in Indonesia Tertiary Eye Ho
Published on (4 days ago)
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Evaluating the Effectiveness of Laser Peripheral Iridotomy on Angle-Closure Diseases: The Role of Spectral Domain Anterior Segment Optical Coherence Tomography (SD AS-OCT) in Indonesia Tertiary Eye Ho
Published on (4 days ago)
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Supplementary Material for: Descemet Membrane Detachment Triggered by Contrast-Enhanced Computed Tomography in a Patient with History of Penetrating Keratoplasty for Keratoconus Treatment
Published on (4 days ago)
Introduction: We report a case of late-onset Descemet membrane detachment triggered by contrast-enhanced computed tomography more than 30 years after penetrating keratoplasty for keratoconus and describe its successful treatment with air tamponade. Case Presentation: A 53-year-old woman with a history of uneventful penetrating keratoplasty more than 30 years ago for keratoconus presented with acute vision loss caused by corneal edema 2 days after undergoing contrast-enhanced computed tomography
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Supplementary Material for: Descemet Membrane Detachment Triggered by Contrast-Enhanced Computed Tomography in a Patient with History of Penetrating Keratoplasty for Keratoconus Treatment
Published on (4 days ago)
Introduction: We report a case of late-onset Descemet membrane detachment triggered by contrast-enhanced computed tomography more than 30 years after penetrating keratoplasty for keratoconus and describe its successful treatment with air tamponade. Case Presentation: A 53-year-old woman with a history of uneventful penetrating keratoplasty more than 30 years ago for keratoconus presented with acute vision loss caused by corneal edema 2 days after undergoing contrast-enhanced computed tomography
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Table_1_Optical Coherence Tomography Reveals Longitudinal Changes in Retinal Damage Under Different Treatments for Neuromyelitis Optica Spectrum Disorder.DOCX
Published on (4 days ago)
Background: Progressive retinal neuroaxonal damage after acute optic neuritis may occur in neuromyelitis optica spectrum disorder (NMOSD). However, it is unclear if treatments used to prevent attacks influence neurodegeneration.Objectives: We aimed to investigate retinal damage in patients treated with disease-modifying drugs in a longitudinal study.Methods: We retrospectively included 50 patients with aquaporin 4-antibody-seropositive NMOSD. Peripapillary retinal nerve fiber layer (pRNFL) thick
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Descriptive Summary of diabetic retinopathy levels of the first 40000 fundus images of the EyePACS dataset, ranked by the image quality.
Published on (4 days ago)
Descriptive Summary of diabetic retinopathy levels of the first 40000 fundus images of the EyePACS dataset, ranked by the image quality.
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Supplementary Material for: Changes in dimensions and functions of crystalline lens in high myopia using CASIA2 optical coherence tomography
Published on (4 days ago)
Introduction: Crystalline lens is the major dioptric component and varies with refractive status. In this study, we aim to evaluate the changes of dimensions and functions of crystalline lens in high myopia and its correlated variables using CASIA2 swept-source optical coherence tomography (SS-OCT). Methods: One hundred and thirty eligible eyes of myopic patients from 18-40 years old were enrolled and divided into low-to-moderate myopia (LMM) and high myopia (HM) groups according to spherical eq
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Supplementary Material for: Changes in dimensions and functions of crystalline lens in high myopia using CASIA2 optical coherence tomography
Published on (4 days ago)
Introduction: Crystalline lens is the major dioptric component and varies with refractive status. In this study, we aim to evaluate the changes of dimensions and functions of crystalline lens in high myopia and its correlated variables using CASIA2 swept-source optical coherence tomography (SS-OCT). Methods: One hundred and thirty eligible eyes of myopic patients from 18-40 years old were enrolled and divided into low-to-moderate myopia (LMM) and high myopia (HM) groups according to spherical eq
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pattern_whorl5x4_15x16.txt
Published on (4 days ago)
DATASET MIGRATED FROM FIGSHARE: A novel imaging method for corneal nerve fibres by in vivo confocal microscopy<p dir="ltr">An explorative study was performed at the University of South-Eastern Norway (USN) by the research group “Eyes Anterior Segment and Eye health” (EASE) developing a novel imaging method for examination of corneal subbasal nerve plexus by in vivo confocal microscopy</p>
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An Annotated Corneal Confocal Microscopy Dataset for Nerve Segmentation and Clinical Characterization
Published on (4 days ago)
Corneal confocal microscopy enables in vivo visualization of the subbasal nerve plexus, yet most available datasets provide only centerline annotations or are restricted in accessibility, limiting pixel level segmentation research. Existing resources vary in quality, annotation strategy and clinical coverage, which complicates objective algorithm comparison and reduces their utility for developing robust models. To address these gaps, we introduce a new dataset of 410 high quality images from 88
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CORN-Complex
Published on (4 days ago)
CORN-Complex is a large-scale, multi-center, multi-disease dataset designed to reflect real-world clinical complexity. It comprises 7,522 images from 518 patients across 12 distinct corneal pathologies. Data were collected from six clinical centers using two imaging systems: Confoscan 3.0 (resized to 384×384) and Heidelberg HRT-III/RCM (384×384). All images were exported directly from CCM devices without manual quality filtering to preserve the full spectrum of variability encountered in clinica
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CORN-Complex
Published on (4 days ago)
CORN-Complex is a large-scale, multi-center, multi-disease dataset designed to reflect real-world clinical complexity. It comprises 7,522 images from 518 patients across 12 distinct corneal pathologies. Data were collected from six clinical centers using two imaging systems: Confoscan 3.0 (resized to 384×384) and Heidelberg HRT-III/RCM (384×384). All images were exported directly from CCM devices without manual quality filtering to preserve the full spectrum of variability encountered in clinica
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Comparison of modernized CNN models.
Published on (4 days ago)
Introduction:Retinal diseases, a significant global health concern, often lead to severe vision impairment and blindness, resulting in substantial functional and social limitations. This study explored a novel goal of developing and comparing the performance of multiple state-of-the-art convolutional neural network (CNN) models for the automated detection and classification of retinal diseases using optical coherence tomography (OCT) images.Method:The study utilized several models, including Den
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Data Sheet 1_Quantitative color fundus photography parameters as potential biomarkers of axial length progression: evidence from a machine learning cohort study.docx
Published on (4 days ago)
PurposeEarly identification of children at risk for accelerated axial elongation is essential for implementing timely myopia control strategies. Quantitative parameters derived from color fundus photography (CFP) may capture subtle structural and microvascular features relevant to axial length (AL) progression, yet their predictive value remains insufficiently characterized. To develop and validate a machine learning–based model integrating CFP-derived quantitative biomarkers and clinical charac
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Data Sheet 1_Diagnostic performance and generalizability of deep learning for multiple retinal diseases using bimodal imaging of fundus photography and optical coherence tomography.pdf
Published on (4 days ago)
PurposeTo develop and evaluate deep learning (DL) models for detecting multiple retinal diseases using bimodal imaging of color fundus photography (CFP) and optical coherence tomography (OCT), assessing diagnostic performance and generalizability.MethodsThis cross-sectional study utilized 1445 CFP-OCT pairs from 1,029 patients across three hospitals. Five bimodal models developed, and the model with best performance (Fusion-MIL) was tested and compared with CFP-MIL and OCT-MIL. Models were train
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Detailed data of variables collected.
Published on (4 days ago)
The epiretinal membrane (ERM) is a fibrocellular layer that forms on the inner surface of the retina, often leading to visual impairment and significantly impacting visual function. Understanding the pathophysiology of ERM formation is crucial for advancing ophthalmic care and improving patient outcomes. This research aims to investigate the pathophysiology of ERM by comparing the internal limiting membrane (ILM) pathology in patients with and without ERM. The study involves a comprehensive prot
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Detailed data of ultrastructure examination at each zoom power.
Published on (4 days ago)
Detailed data of ultrastructure examination at each zoom power.
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Inclusion and exclusion criteria of the study.
Published on (4 days ago)
The epiretinal membrane (ERM) is a fibrocellular layer that forms on the inner surface of the retina, often leading to visual impairment and significantly impacting visual function. Understanding the pathophysiology of ERM formation is crucial for advancing ophthalmic care and improving patient outcomes. This research aims to investigate the pathophysiology of ERM by comparing the internal limiting membrane (ILM) pathology in patients with and without ERM. The study involves a comprehensive prot
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Detailed data of hypothesis and plan.
Published on (4 days ago)
The epiretinal membrane (ERM) is a fibrocellular layer that forms on the inner surface of the retina, often leading to visual impairment and significantly impacting visual function. Understanding the pathophysiology of ERM formation is crucial for advancing ophthalmic care and improving patient outcomes. This research aims to investigate the pathophysiology of ERM by comparing the internal limiting membrane (ILM) pathology in patients with and without ERM. The study involves a comprehensive prot
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Progression rate of geographic atrophy area by various factors (Multivariate analysis).
Published on (4 days ago)
Progression rate of geographic atrophy area by various factors (Multivariate analysis).
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DataSheet1_Risk prediction of diabetic retinopathy based on visit-to-visit fasting blood glucose indices.docx
Published on (4 days ago)
ObjectiveThe long-term glucose monitoring is essential to the risk assessment of diabetic retinopathy (DR), the aim of this study was to investigate the predictive ability of visit-to-visit fasting blood glucose (FBG) indices on the risk of DR.MethodsThis was a community-based, cohort study conducted from 2013 to 2021. DR was diagnosed by digital fundus photography. The FPG indices included FBG, var. Associations of each FBG indices and DR were estimated using multinomial logistic regression mod
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Comparison of questionnaire results between experts and trainees.
Published on (4 days ago)
Comparison of questionnaire results between experts and trainees.
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Comparison of the effects of the AI judgment results on the CRR between experts and trainees.
Published on (4 days ago)
Comparison of the effects of the AI judgment results on the CRR between experts and trainees.
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Hyperparameters with tuned values.
Published on (4 days ago)
Introduction:Retinal diseases, a significant global health concern, often lead to severe vision impairment and blindness, resulting in substantial functional and social limitations. This study explored a novel goal of developing and comparing the performance of multiple state-of-the-art convolutional neural network (CNN) models for the automated detection and classification of retinal diseases using optical coherence tomography (OCT) images.Method:The study utilized several models, including Den
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Confusion matrix.
Published on (4 days ago)
Introduction:Retinal diseases, a significant global health concern, often lead to severe vision impairment and blindness, resulting in substantial functional and social limitations. This study explored a novel goal of developing and comparing the performance of multiple state-of-the-art convolutional neural network (CNN) models for the automated detection and classification of retinal diseases using optical coherence tomography (OCT) images.Method:The study utilized several models, including Den
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Model parameters.
Published on (4 days ago)
Introduction:Retinal diseases, a significant global health concern, often lead to severe vision impairment and blindness, resulting in substantial functional and social limitations. This study explored a novel goal of developing and comparing the performance of multiple state-of-the-art convolutional neural network (CNN) models for the automated detection and classification of retinal diseases using optical coherence tomography (OCT) images.Method:The study utilized several models, including Den
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Distribution of the dataset.
Published on (4 days ago)
Introduction:Retinal diseases, a significant global health concern, often lead to severe vision impairment and blindness, resulting in substantial functional and social limitations. This study explored a novel goal of developing and comparing the performance of multiple state-of-the-art convolutional neural network (CNN) models for the automated detection and classification of retinal diseases using optical coherence tomography (OCT) images.Method:The study utilized several models, including Den
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Evaluation of the effectiveness of pruning.
Published on (4 days ago)
Optical Coherence Tomography (OCT) offers high-resolution images of the eye’s fundus. This enables thorough analysis of retinal health by doctors, providing a solid basis for diagnosis and treatment. With the development of deep learning, deep learning-based methods are becoming more popular for fundus OCT image segmentation. Yet, these methods still encounter two primary challenges. Firstly, deep learning methods are sensitive to weak edges. Secondly, the high cost of annotating medical image d
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Criteria for presenting incorrect judgment outcomes.
Published on (4 days ago)
Criteria for presenting incorrect judgment outcomes.
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Changes in foveal location after surgery.
Published on (4 days ago)
PurposeWe investigated changes in macular topography and their association with visual acuity and metamorphopsia in the idiopathic epiretinal membrane (iERM).MethodsTwenty-four eyes that underwent vitrectomy and ERM removal with internal limiting membrane peeling were included in this study. Best-corrected visual acuity (BCVA) and horizontal/vertical metamorphopsia scores (h and vM-scores in the M-chart) were assessed. The distances of fovea-disc (FD) and fovea-vascular arcade (FV), central subf
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Baseline characteristics.
Published on (4 days ago)
PurposeWe investigated changes in macular topography and their association with visual acuity and metamorphopsia in the idiopathic epiretinal membrane (iERM).MethodsTwenty-four eyes that underwent vitrectomy and ERM removal with internal limiting membrane peeling were included in this study. Best-corrected visual acuity (BCVA) and horizontal/vertical metamorphopsia scores (h and vM-scores in the M-chart) were assessed. The distances of fovea-disc (FD) and fovea-vascular arcade (FV), central subf
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Data file used in this study.
Published on (4 days ago)
PurposeWe investigated changes in macular topography and their association with visual acuity and metamorphopsia in the idiopathic epiretinal membrane (iERM).MethodsTwenty-four eyes that underwent vitrectomy and ERM removal with internal limiting membrane peeling were included in this study. Best-corrected visual acuity (BCVA) and horizontal/vertical metamorphopsia scores (h and vM-scores in the M-chart) were assessed. The distances of fovea-disc (FD) and fovea-vascular arcade (FV), central subf
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Quality of images with both fundus cameras.
Published on (4 days ago)
BackgroundDiabetic retinopathy (DR) is a leading cause of blindness globally. The gold standard for DR screening is stereoscopic colour fundus photography with tabletop cameras. VistaView is a novel smartphone-based retinal camera which offers mydriatic retinal imaging. This study compares the diagnostic accuracy of the smartphone-based VistaView camera compared to a traditional desk mounted fundus camera (Triton Topcon). We also compare the agreement between graders for DR screening between Vis
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Table_1_A retrospective study of ophthalmologic presentation, management, and outcomes in pediatric patients admitted with abusive head trauma.DOCX
Published on (4 days ago)
BackgroundAbusive head trauma (AHT) is a severe form of physical abuse leading to significant morbidity and mortality in children, often presenting with complex brain injuries. Among the varied manifestations, ophthalmologic presentations are critical yet underexplored, which may provide essential clues for early diagnosis and management, improving long-term visual and neurological outcomes.ObjectiveThis study aims to explore the manifestation, management, and outcomes of AHT cases within a sing
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Additional file 9 of The automatic detection of diabetic kidney disease from retinal vascular parameters combined with clinical variables using artificial intelligence in type-2 diabetes patients
Published on (4 days ago)
Additional file 9. Supplementary Python source codes. Code1: Python code for the model using RF classifier with SMOTE correction for data set imbalance. Code2: Python code for the model using SVM classifier with SMOTE correction for data set imbalance. Code3: Python code for the model using BDT classifier with SMOTE correction for data set imbalance. Code4: Python code for the model using Ada classifier with SMOTE correction for data set imbalance. Code5: Python code for the model using RF class
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Additional file 8 of The automatic detection of diabetic kidney disease from retinal vascular parameters combined with clinical variables using artificial intelligence in type-2 diabetes patients
Published on (4 days ago)
Additional file 8. Original data.
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DataSheet_1_New findings on retinal microvascular changes in patients with primary COVID-19 infection: a longitudinal study.docx
Published on (4 days ago)
PurposeTo investigate the longitudinal alterations of retinal microvasculature in patients with primary coronavirus disease 2019 (COVID-19) infection.MethodsA cohort of participants, who had never been infected with COVID-19, was recruited between December 2022 and May 2023 at Peking Union Medical College Hospital in Beijing, China. Participants underwent comprehensive ophthalmologic examinations and fundus imaging, which included color fundus photography, autofluorescence photography, swept-sou
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Systematic study of ophthalmological findings in 10 patients with <i>PEX1</i>-mediated Zellweger spectrum disorder
Published on (4 days ago)
This cross-sectional study describes the ophthalmological and general phenotype of 10 patients from six different families with a comparatively mild form of Zellweger spectrum disorder (ZSD), a rare peroxisomal disorder. Ophthalmological assessment included best-corrected visual acuity (BCVA), perimetry, microperimetry, ophthalmoscopy, fundus photography, spectral-domain optical coherence tomography (SD-OCT), and fundus autofluorescence (FAF) imaging. Medical records were reviewed for medical hi
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Table_1_Multimodal imaging of optic nerve head abnormalities in high myopia.docx
Published on (4 days ago)
Highly myopic optic nerve head (ONH) abnormalities encompass a series of complications resulting from the stretching of papillary and peripapillary structures during significant axial elongation. The morphological changes in the ONH typically initiate with disk tilting or rotation, progressing to PHOMS and PPA. Tissue defects in each layer manifest as focal lamina cribrosa defects (FLDs), peripapillary intrachoroidal cavitations (PICCs), and acquired pits of the optic nerve (APON). Anterior vitr
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Ablation experiments on the DRIVE dataset.
Published on (4 days ago)
Computer-aided diagnostic (CAD) systems for color fundus images play a critical role in the early detection of fundus diseases, including diabetes, hypertension, and cerebrovascular disorders. Although deep learning has substantially advanced automatic segmentation techniques in this field, several challenges persist, such as limited labeled datasets, significant structural variations in blood vessels, and persistent dataset discrepancies, which continue to hinder progress. These challenges lead
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Table 1_Multimodal in-vivo maps as a tool to characterize retinal structural biomarkers for progression in adult-onset Stargardt disease.docx
Published on (4 days ago)
PurposeTo characterize retinal structural biomarkers for progression in adult-onset Stargardt disease from multimodal retinal imaging in-vivo maps.MethodsSeven adult patients (29–69 years; 3 males) with genetically-confirmed and clinically diagnosed adult-onset Stargardt disease and age-matched healthy controls were imaged with confocal and non-confocal Adaptive Optics Scanning Light Ophthalmoscopy (AOSLO), optical coherence tomography (OCT), fundus infrared (FIR), short wavelength-autofluoresce
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Data_Sheet_1_Clinical application of multicolor scanning laser ophthalmology in diagnosis and grading of central retinal artery occlusion.docx
Published on (4 days ago)
PurposeTo characterize features of central retinal artery occlusion (CRAO) using multicolor (MC) imaging and to assess the differences in CRAO grading between color fundus photography (CFP) and MC image qualitatively and quantitatively.MethodsWe conducted a prospective, cross-sectional study in the Department of Ophthalmology of Renmin Hospital of Wuhan University. In total, 86 acute CRAO patients were included. Spectral-domain optical coherence tomography (SD-OCT), CFP, and MC examinations were
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Table 1_Subretinal injection of balanced salt solution for macular edema secondary to retinal vein occlusion.docx
Published on (4 days ago)
PurposesTo investigate the efficacy and safety of subretinal balanced salt solution (BSS) injections for macular edema secondary to retinal vein occlusion (RVO-ME).MethodsWe retrospectively analyzed 19 eyes of 19 patients characterized by Retinal vein occlusion (RVO) diagnosed using retinal angiography and persistent or recurrent edema on optical coherence tomography after at least three standard-dose anti-vascular endothelial growth factor (VEGF) treatments. The operation group received pars pl
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Data Sheet 1_Changes of individual choroidal thickness post-uneventful cataract surgery determined by spectral-domain optical coherence tomography over a 3-month period.pdf
Published on (4 days ago)
PurposeTo evaluate changes in choroidal thickness and choroidal volume after uncomplicated cataract surgery using enhanced depth imaging optical coherence tomography (EDI-OCT) over a 3-month period.MethodsFor this retrospective analysis, data collected in a different, prospective study previously conducted at the Department of Ophthalmology, Medical University of Graz, Austria, was utilized and further analysed. In the original study, retinal layer thickness was measured using spectral-domain op
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Data Sheet 1_Analysis of factors influencing retinal thickness in chronic obstructive pulmonary disease and hypertension: a cross-sectional study in a community-dwelling middle-aged and elderly popula
Published on (4 days ago)
BackgroundChronic obstructive pulmonary disease (COPD) and Hypertension are modifiable risk factors for premature mortality globally, with well-documented associations with retinal microvascular damage. Macular retinal thickness serves as a core quantitative indicator of macular structural integrity and ocular disease progression. However, existing studies primarily focus on retinal nerve layers in clinical populations, lacking investigations into full retinal thickness (RT) across all macular o
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Table 5_Ocular diagnostics and occipital neurovascular coupling in ocular hypertension and open angle glaucoma.docx
Published on (4 days ago)
IntroductionThe relationship between glaucoma and neurovascular coupling in the visual cortex has yet to be fully explored and understood. This study employs the time-domain (TD) functional near-infrared spectroscopy (fNIRS) technique to noninvasively monitor the hemodynamic response function (HRF) in the visual cortex.Methods203 eyes (104 subjects, 46 females, 58 males): 44 with ocular hypertension (OHT), 38 with open-angle glaucoma (OAG), 54 with normal tension glaucoma (NTG), and 67 without a
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Table 1_Using multimodal imaging to improve the diagnostic accuracy and confidence in distinguishing non-arteritic anterior ischemic optic neuropathy from optic disc drusen.docx
Published on (4 days ago)
IntroductionOptic nerve head elevation (ONHE) is a common diagnostic challenge in the general eye clinic. When caused by optic disc edema (ODE), ONHE may signal a neuro-ophthalmic emergency requiring urgent and invasive evaluation, whereas pseudoedema typically does not. This study evaluated whether multimodal oph¬thalmic imaging improves diagnostic accuracy and confidence in distinguishing nonarteritic anterior ischemic optic neuropathy (NAION), used as a model of true ODE, from optic disc drus
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Table 1_Optical coherence tomography and electroretinography in pituitary macroadenomas: a 12-month analysis by age and tumor type.docx
Published on (4 days ago)
PurposeTo evaluate longitudinal changes in optical coherence tomography (OCT) and electroretinography (ERG) parameters over 12 months in patients with pituitary macroadenomas, and to assess variation according to age and tumor type.MethodsThis prospective observational study included 36 patients (72 eyes) with newly diagnosed pituitary macroadenomas. Patients were divided into a treatment group (n=23; including 9 prolactinomas (PRL), and 14 non-functioning adenomas [NFPAs]) and an observation gr
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Table 1_A mobile system for whole eye perfusion supporting retinal function and surgery.docx
Published on (4 days ago)
IntroductionThe use of human donor tissue has the potential to accelerate translational research and support the development of effective human medicines. However, post-mortem sample degradation and the loss of anatomical context limits the utility of primary tissue.MethodsHere, an ex vivo perfusion platform, the Advancing Straight-to-Human Eye Research (ASTHER) system, was designed to perfuse whole eyes with autologous blood to support ex vivo viability. The system was designed for portability
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Impact of Laser Photocoagulation for Peripheral Retinal Degeneration and Breaks on Macular Structure and Function
Published on (4 days ago)
Laser photocoagulation is widely used to treat peripheral retinal pathologies. This study aims to investigate its impact on the macula and identify associated risk factors. This prospective observational study enrolled patients undergoing laser photocoagulation for peripheral retinal degeneration and/or breaks were enrolled. Ocular examinations, including optical coherence tomography (OCT), OCT angiography (OCTA), and multifocal electroretinography (mf-ERG), were conducted at baseline and at 1-
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Supplementary Material for: Predictive value of optical coherence tomography biomarkers on visual outcomes in patients with retinal vein occlusion
Published on (4 days ago)
Purpose: To evaluate the prognostic significance of different optical coherence tomography (OCT)-imaging biomarkers in predicting visual outcomes in patients with retinal vein occlusion (RVO). Methods: This was a retrospective study conducted on consecutive patients diagnosed with RVO, who were referred to or treated at a Third-level university hospital. The primary endpoints were the mean change in best-corrected visual acuity (BCVA) from baseline to the month-6, month-12, and month-18 follow-u
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Table 6_Ocular diagnostics and occipital neurovascular coupling in ocular hypertension and open angle glaucoma.docx
Published on (4 days ago)
IntroductionThe relationship between glaucoma and neurovascular coupling in the visual cortex has yet to be fully explored and understood. This study employs the time-domain (TD) functional near-infrared spectroscopy (fNIRS) technique to noninvasively monitor the hemodynamic response function (HRF) in the visual cortex.Methods203 eyes (104 subjects, 46 females, 58 males): 44 with ocular hypertension (OHT), 38 with open-angle glaucoma (OAG), 54 with normal tension glaucoma (NTG), and 67 without a
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Table 3_Ocular diagnostics and occipital neurovascular coupling in ocular hypertension and open angle glaucoma.docx
Published on (4 days ago)
IntroductionThe relationship between glaucoma and neurovascular coupling in the visual cortex has yet to be fully explored and understood. This study employs the time-domain (TD) functional near-infrared spectroscopy (fNIRS) technique to noninvasively monitor the hemodynamic response function (HRF) in the visual cortex.Methods203 eyes (104 subjects, 46 females, 58 males): 44 with ocular hypertension (OHT), 38 with open-angle glaucoma (OAG), 54 with normal tension glaucoma (NTG), and 67 without a
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Table 4_Ocular diagnostics and occipital neurovascular coupling in ocular hypertension and open angle glaucoma.docx
Published on (4 days ago)
IntroductionThe relationship between glaucoma and neurovascular coupling in the visual cortex has yet to be fully explored and understood. This study employs the time-domain (TD) functional near-infrared spectroscopy (fNIRS) technique to noninvasively monitor the hemodynamic response function (HRF) in the visual cortex.Methods203 eyes (104 subjects, 46 females, 58 males): 44 with ocular hypertension (OHT), 38 with open-angle glaucoma (OAG), 54 with normal tension glaucoma (NTG), and 67 without a
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Table 2_Ocular diagnostics and occipital neurovascular coupling in ocular hypertension and open angle glaucoma.docx
Published on (4 days ago)
IntroductionThe relationship between glaucoma and neurovascular coupling in the visual cortex has yet to be fully explored and understood. This study employs the time-domain (TD) functional near-infrared spectroscopy (fNIRS) technique to noninvasively monitor the hemodynamic response function (HRF) in the visual cortex.Methods203 eyes (104 subjects, 46 females, 58 males): 44 with ocular hypertension (OHT), 38 with open-angle glaucoma (OAG), 54 with normal tension glaucoma (NTG), and 67 without a
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Table 1_Ocular diagnostics and occipital neurovascular coupling in ocular hypertension and open angle glaucoma.docx
Published on (4 days ago)
IntroductionThe relationship between glaucoma and neurovascular coupling in the visual cortex has yet to be fully explored and understood. This study employs the time-domain (TD) functional near-infrared spectroscopy (fNIRS) technique to noninvasively monitor the hemodynamic response function (HRF) in the visual cortex.Methods203 eyes (104 subjects, 46 females, 58 males): 44 with ocular hypertension (OHT), 38 with open-angle glaucoma (OAG), 54 with normal tension glaucoma (NTG), and 67 without a
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Association of SFCT, PED morphology, and CST with disease activity in CSCR eyes.
Published on (4 days ago)
Association of SFCT, PED morphology, and CST with disease activity in CSCR eyes.
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Association between PED with CST and SFCT in CSCR eyes.
Published on (4 days ago)
Association between PED with CST and SFCT in CSCR eyes.
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Pigment epithelial detachment (PED) among affected and fellow eyes of CSCR cases.
Published on (4 days ago)
Pigment epithelial detachment (PED) among affected and fellow eyes of CSCR cases.
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Mean sub foveal choroidal thickness (SFCT) of study and control eyes.
Published on (4 days ago)
Mean sub foveal choroidal thickness (SFCT) of study and control eyes.
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Demographic Information of Patients.
Published on (4 days ago)
PurposeTo investigate the concordance between angle-closure assessments based on GS-1 gonioscope images and those obtained with anterior-segment optical coherence tomography.Study designRetrospective clinical study.MethodsWe included 33 patients (53 eyes) who visited Chukyo Eye Clinic during 2020–2024, were suspected of having angle closure, and underwent anterior-segment optical coherence tomography (CASIA2 Advance STAR Analyzer) and GS-1 examinations. The 16-directional images captured with th
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datasetcontroleyes.csv.
Published on (4 days ago)
Raw data for control eyes used in comparative analysis. (CSV)
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datasetCSCReyes.csv.
Published on (4 days ago)
Raw data for CSCR eyes group used in analysis. (CSV)
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Summary of FAZ studies.
Published on (4 days ago)
PurposeTo evaluate the association between foveal avascular zone (FAZ) parameters (area, perimeter and circularity) with macular high density perimetry (Octopus Macular program), macular vessel density (mVD) and ganglion cells layer thickness (GCLT) in glaucoma patients.MethodsThis cross-sectional study included 89 eyes from 57 glaucoma patients. All participants underwent high-density perimetry (Octopus 900 Macular and G programs). FAZ metrics and mVD were obtained via Optical Coherence Tomogra
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Clinical characteristics of the study sample.
Published on (4 days ago)
PurposeTo evaluate the association between foveal avascular zone (FAZ) parameters (area, perimeter and circularity) with macular high density perimetry (Octopus Macular program), macular vessel density (mVD) and ganglion cells layer thickness (GCLT) in glaucoma patients.MethodsThis cross-sectional study included 89 eyes from 57 glaucoma patients. All participants underwent high-density perimetry (Octopus 900 Macular and G programs). FAZ metrics and mVD were obtained via Optical Coherence Tomogra
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Data Sheet 1_Case Report: A case of unexplained retinoschisis.pdf
Published on (4 days ago)
BackgroundRetinoschisis is characterized by separation of the neurosensory retina into two layers. The traditional pars plana vitrectomy with internal limiting membrane peeling and macular buckling has been shown to resolve retinoschisis. We report a case of unknown cause of retinoschisis in a young adult.Case presentationA 24-year-old man presented with an 18-day history of metamorphopsia and blurred vision in his left eye. Optical coherence tomography revealed retinoschisis in the macula, the
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Human Embryonic Stem Cell-Derived Retinal Organoid Early Differentiation Imaging Dataset
Published on (4 days ago)
This multimodal time-series imaging dataset captures the early differentiation of human embryonic stem cell (hESC)–derived retinal organoids. It includes images documenting morphological development from Day 6 to Day 30 (post-seeding of the hESC suspension), acquired from 384 parallel-cultured cellular aggregates. Bright-field images are provided via the repository link; volumetric optical coherence tomography (OCT) data—owing to their large size—are accessible through an external link. See the
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<p>Model performance summary.</p>
Published on (4 days ago)
Diabetic Retinopathy, Cataract, and Glaucoma are major retinal diseases that require early detection to prevent irreversible vision loss. This study proposes a deep learning-based framework for the automated classification of retinal images into four categories: Normal, Diabetic Retinopathy, Cataract, and Glaucoma. The dataset was compiled from publicly available retinal imaging databases, including IDRiD and HRF. Four convolutional neural network architectures—EfficientNet-B0, EfficientNet-B7,
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<p>Five-fold cross-validation results for AlexNet.</p>
Published on (4 days ago)
Diabetic Retinopathy, Cataract, and Glaucoma are major retinal diseases that require early detection to prevent irreversible vision loss. This study proposes a deep learning-based framework for the automated classification of retinal images into four categories: Normal, Diabetic Retinopathy, Cataract, and Glaucoma. The dataset was compiled from publicly available retinal imaging databases, including IDRiD and HRF. Four convolutional neural network architectures—EfficientNet-B0, EfficientNet-B7,
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Table 1_SGLT2 inhibitor short-term efficacy and SYNTAX score association in coronary heart disease retinopathy: a propensity score matching study.docx
Published on (4 days ago)
BackgroundType 2 diabetes (T2DM) and hypertension (HTN) are key risk factors for retinopathy and often coexist with coronary heart disease (CHD). While AI-based retinal imaging predicts CHD risk, links between CHD lesion complexity and retinopathy, and potential benefits of Sodium-Glucose Cotransporter-2 (SGLT2) inhibitors on retinopathy in CHD patients with T2DM, lack sufficient evidence.MethodsThis case-control study (Jan 2024-Mar 2025) enrolled 642 subjects from Beijing Tongren Hospital (affi
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Data Sheet 1_Diffusion model based OCT to OCTA translation.docx
Published on (4 days ago)
IntroductionThis study introduces a conditional diffusion-based approach (Brown Bridge diffusion model, BBDM) for translating optical coherence tomography (OCT) images into OCT Angiography (OCTA).MethodsTraditional generative adversarial networks (GANs) often face limitations in generalization and structural fidelity due to adversarial loss and one-to-one mappings. In contrast, BBDM employs a bidirectional stochastic process that transitions directly between OCT and OCTA without intermediate con
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Table 1_Diffusion model based OCT to OCTA translation.docx
Published on (4 days ago)
IntroductionThis study introduces a conditional diffusion-based approach (Brown Bridge diffusion model, BBDM) for translating optical coherence tomography (OCT) images into OCT Angiography (OCTA).MethodsTraditional generative adversarial networks (GANs) often face limitations in generalization and structural fidelity due to adversarial loss and one-to-one mappings. In contrast, BBDM employs a bidirectional stochastic process that transitions directly between OCT and OCTA without intermediate con
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Data Sheet 1_Predicting cardiovascular disease risk using retinal optical coherence tomography imaging.pdf
Published on (4 days ago)
IntroductionCardiovascular Diseases (CVD) are the leading cause of death globally. Non-invasive, cost-effective imaging techniques play a crucial role in early detection and prevention of CVD. Optical Coherence Tomography (OCT) has gained recognition as a noninvasive method of detecting microvascular alterations that might enable earlier identification and targeting of at-risk patients. In this study, we investigated the potential of OCT as an additional imaging technique to predict future CVD e
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figshare.zip
Published on (4 days ago)
This Document includes findings based on the dataset, Image Processing results, Retinal image Classification & segmentation.
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Ablation Study and Component-Level Analysis.
Published on (4 days ago)
Retinal vascular tree segmentation and enhancement has significant medical imaging benefits because, unlike any other human organ, the retina allows non-invasive observation of blood microcirculation, making it ideal for the detection of systemic diseases. Many traditional methods of segmentation and enhancement encounter issues with visual distortion, ghost artifacts, spatially inconsistent structures, and edge information preservation as a result of the diffusion of spatial intensities at the
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Statistical significance test analysis.
Published on (4 days ago)
Retinal vascular tree segmentation and enhancement has significant medical imaging benefits because, unlike any other human organ, the retina allows non-invasive observation of blood microcirculation, making it ideal for the detection of systemic diseases. Many traditional methods of segmentation and enhancement encounter issues with visual distortion, ghost artifacts, spatially inconsistent structures, and edge information preservation as a result of the diffusion of spatial intensities at the
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Impact of pretraining on FedGAN performance.
Published on (4 days ago)
Deep learning models for diagnostic applications require large amounts of sensitive patient data, raising privacy concerns under centralized training paradigms. We propose FedGAN, a federated learning framework for synthetic medical image generation that combines Generative Adversarial Networks (GANs) with cross-silo federated learning. Our approach pretrains a DCGAN on abdominal CT scans and fine-tunes it collaboratively across clinical silos using diabetic retinopathy datasets. By federating t
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Ablation experiments on the CHASE-DB1 dataset.
Published on (4 days ago)
Retinal blood vessels are of different sizes and shapes, and even contain very fine capillaries with complex structural morphology, making accurate segmentation a difficult task. To address the above problems, we propose an improved retinal segmentation method DMSU-Net++ (Double Multiscale U-Net++) based on U-Net++. The method innovatively introduces a multiscale feature extraction module WTSAFM, which realises multiscale feature extraction via wavelet transform, and can capture image informatio
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Localization percentage of OD using green channel of fundus image.
Published on (4 days ago)
Localization percentage of OD using green channel of fundus image.
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Retinal Fundus Images
Published on (4 days ago)
This dataset contains retinal fundus images that could be used for enhancement and segmentation.
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Table 1_Development and evaluation of a deep learning system for screening real-world multiple abnormal findings based on ultra-widefield fundus images.docx
Published on (4 days ago)
PurposeTo develop and evaluate a deep learning system for screening multiple abnormal findings including hemorrhages, drusen, hard exudates, cotton wool spots and retinal breaks using ultra-widefield fundus images.MethodsThe system consisted of three modules: (I) quality assessment module, (II) artifact removal module and (III) lesion recognition module. In Module III, a heatmap was generated to highlight the lesion area. A total of 4,521 UWF images were used for the training and internal valida
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Summary of the retinal image collections used for model development and evaluation. <i>Datasets</i> used for training classifiers (both plain and adversarially robust ones) are marked with superscript
Published on (4 days ago)
Summary of the retinal image collections used for model development and evaluation. Datasets used for training classifiers (both plain and adversarially robust ones) are marked with superscript c, and for the diffusion models - with superscript d.
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Features of CNN architectures.
Published on (4 days ago)
BackgroundRetinal problems are critical because they can cause severe vision loss if not treated. Traditional methods for diagnosing retinal disorders often rely heavily on manual interpretation of optical coherence tomography (OCT) images, which can be time-consuming and dependent on the expertise of ophthalmologists. This leads to challenges in early diagnosis, especially as retinal diseases like diabetic macular edema (DME), Drusen, and Choroidal neovascularization (CNV) become more prevalent
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Details of the datasets.
Published on (4 days ago)
BackgroundRetinal problems are critical because they can cause severe vision loss if not treated. Traditional methods for diagnosing retinal disorders often rely heavily on manual interpretation of optical coherence tomography (OCT) images, which can be time-consuming and dependent on the expertise of ophthalmologists. This leads to challenges in early diagnosis, especially as retinal diseases like diabetic macular edema (DME), Drusen, and Choroidal neovascularization (CNV) become more prevalent
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The summary of ablation experiment.
Published on (4 days ago)
Optical Coherence Tomography (OCT) offers high-resolution images of the eye’s fundus. This enables thorough analysis of retinal health by doctors, providing a solid basis for diagnosis and treatment. With the development of deep learning, deep learning-based methods are becoming more popular for fundus OCT image segmentation. Yet, these methods still encounter two primary challenges. Firstly, deep learning methods are sensitive to weak edges. Secondly, the high cost of annotating medical image d
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Supporting data for "Harnessing the Power of Retinal Nerve Fiber Layer Optical Texture Analysis and Deep Learning in Glaucoma"
Published on (4 days ago)
This dataset supports the thesis "Harnessing the Power of Retinal Nerve Fiber Layer Optical Texture Analysis and Deep Learning in Glaucoma." The research aims to leverage RNFL Optical Texture Analysis (ROTA) and deep learning techniques for glaucoma detection, classification, and progression tracking. The thesis comprises three main components: pattern analysis of ROTA in early glaucoma subjects, analysis of fundus images for glaucomatous disease diagnosis, and analysis of sequential ROTA maps f
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Model setup for all CNNs.
Published on (4 days ago)
Retinal images play a pivotal contribution to the diagnosis of various ocular conditions by ophthalmologists. Extensive research was conducted to enable early detection and timely treatment using deep learning algorithms for retinal fundus images. Quick diagnosis and treatment planning can be facilitated by deep learning models’ ability to process images rapidly and deliver outcomes instantly. Our research aims to provide a non-invasive method for early detection and timely eye disease treatment
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Model summary for CNNs.
Published on (4 days ago)
Retinal images play a pivotal contribution to the diagnosis of various ocular conditions by ophthalmologists. Extensive research was conducted to enable early detection and timely treatment using deep learning algorithms for retinal fundus images. Quick diagnosis and treatment planning can be facilitated by deep learning models’ ability to process images rapidly and deliver outcomes instantly. Our research aims to provide a non-invasive method for early detection and timely eye disease treatment
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Data distribution.
Published on (4 days ago)
Retinal images play a pivotal contribution to the diagnosis of various ocular conditions by ophthalmologists. Extensive research was conducted to enable early detection and timely treatment using deep learning algorithms for retinal fundus images. Quick diagnosis and treatment planning can be facilitated by deep learning models’ ability to process images rapidly and deliver outcomes instantly. Our research aims to provide a non-invasive method for early detection and timely eye disease treatment
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Relationship between pattern electroretinogram and optic disc morphology in glaucoma
Published on (4 days ago)
PurposeTo evaluate the relationship between pattern electroretinogram (PERG) and optic disc morphology in glaucoma suspect and glaucoma.MethodsEighty-six eyes of glaucoma suspect and 145 eyes of manifest glaucoma subjects were included in this study. Average peripapillary retinal nerve fiber layer (RNFL) thickness was obtained with spectral-domain optical coherence tomography, and optic disc imaging was performed using the Heidelberg Retinal Tomograph (HRT). Visual function was evaluated with pe
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A self-adaptive deep learning method for automated eye laterality detection based on color fundus photography
Published on (4 days ago)
PurposeTo provide a self-adaptive deep learning (DL) method to automatically detect the eye laterality based on fundus images.MethodsA total of 18394 fundus images with real-world eye laterality labels were used for model development and internal validation. A separate dataset of 2000 fundus images with eye laterality labeled manually was used for external validation. A DL model was developed based on a fine-tuned Inception-V3 network with self-adaptive strategy. The area under receiver operator
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Linking neural and clinical measures of glaucoma with diffusion magnetic resonance imaging (dMRI)
Published on (4 days ago)
PurposeTo link optic nerve (ON) structural properties to clinical markers of glaucoma using advanced, semi-automated diffusion magnetic resonance imaging (dMRI) tractography in human glaucoma patients.MethodsWe characterized optic neuropathy in patients with unilateral advanced-stage glaucoma (n = 6) using probabilistic dMRI tractography and compared their results to those in healthy controls (n = 6).ResultsWe successfully identified the ONs of glaucoma patients based on dMRI in all patients and
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Retinal Image Dataset of Infants and ROP in One Folder
Published on (4 days ago)
Retinal Image Dataset of Infants and ROP in one folder more suitable for machine learning algorithms and data processing.
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Retinal Image Dataset of Infants and ROP in One Folder without Images' Captions
Published on (4 days ago)
Retinal Image Dataset of Infants and ROP in one folder without images' captions more suitable for machine learning algorithms and data processing.
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Retinal Image Dataset of Infants and ROP Divided into Patients' Folders
Published on (4 days ago)
Dataset with subfolder containing the real patient’s images taken on the same day from the same patient. Such a division is a user-oriented solution enabling, e.g. educators, quick orientation in the database.
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Table 1_Evaluating the strengths and limitations of multimodal ChatGPT-4 in detecting glaucoma using fundus images.xlsx
Published on (4 days ago)
OverviewThis study evaluates the diagnostic accuracy of a multimodal large language model (LLM), ChatGPT-4, in recognizing glaucoma using color fundus photographs (CFPs) with a benchmark dataset and without prior training or fine tuning.MethodsThe publicly accessible Retinal Fundus Glaucoma Challenge “REFUGE” dataset was utilized for analyses. The input data consisted of the entire 400 image testing set. The task involved classifying fundus images into either ‘Likely Glaucomatous’ or ‘Likely Non
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Data Sheet 1_Evaluating the strengths and limitations of multimodal ChatGPT-4 in detecting glaucoma using fundus images.docx
Published on (4 days ago)
OverviewThis study evaluates the diagnostic accuracy of a multimodal large language model (LLM), ChatGPT-4, in recognizing glaucoma using color fundus photographs (CFPs) with a benchmark dataset and without prior training or fine tuning.MethodsThe publicly accessible Retinal Fundus Glaucoma Challenge “REFUGE” dataset was utilized for analyses. The input data consisted of the entire 400 image testing set. The task involved classifying fundus images into either ‘Likely Glaucomatous’ or ‘Likely Non
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Pre-training and stitching hyperparameters.
Published on (4 days ago)
Age-related macular degeneration (AMD) is an eye disease that leads to the deterioration of the central vision area of the eye and can gradually result in vision loss in elderly individuals. Early identification of this disease can significantly impact patient treatment outcomes. Furthermore, given the increasing elderly population globally, the importance of automated methods for rapidly monitoring at-risk individuals and accurately diagnosing AMD is growing daily. One standard method for diagn
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The findings of optical coherence tomography of retinal degeneration in relation to the morphological and electroretinographic features in <i>RPE65</i><sup>−/−</sup> mice
Published on (4 days ago)
PurposeMutations of the gene encoding RPE65 cause Leber congenital amaurosis (LCA) retinitis pigmentosa (RP). The optical coherence tomography (OCT) is increasingly utilized to noninvasively evaluate various types of retinal diseases, including RP. The present study was conducted to characterize the OCT findings of the RPE65−/− mice—an animal model of LCA and RP—in relation to the morphological features based on histological and electron microscopic findings as well as electroretinography (ERG)
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High-resolution fundus images for ophthalmomics and early cardiovascular disease prediction, China Fundus Carotid Intima-Media Thickness dataset
Published on (4 days ago)
The China Fundus Carotid Intima-Media Thickness Dataset comprises comprehensive data from 2,903 patients, including high-resolution bilateral fundus images, carotid intima-media thickness (CIMT) measurements, and clinical information such as age and gender. The dataset was collected by the Department of Endocrinology at the Second Affiliated Hospital of Anhui Medical University between April 2015 and February 2024.Among the participants, 849 cases are classified as normal (CIMT < 0.9 mm), while
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Synthetic dataset of 100 fundus auto fluorescence of inherited retinal disease
Published on (4 days ago)
Description of the data and file structureSynthetic dataset containing 100 Fundus Auto Fluorescence (FAF) images from each of 10 genes which includes (ABCA4, BEST1, EFEMP1, EYS, MYO7A, PRPH2, RPGR, RS1, TIMP3 and USH2A). These images were generated by the SynthEye algorithm (https://www.ophthalmologyscience.org/article/S2666-9145(22)00147-6/fulltext).Files and variablesFile: syntheye100_synthetic_faf.zipDescription: Each foldercorresponds to a gene name (ABCA4, BEST1, EFEMP1, EYS, MYO7A, PRPH2,
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Open ultrawidefield fundus image dataset with disease diagnosis and clinical image quality assessment
Published on (4 days ago)
This dataset consisted of 700 high-resolution UWF images from 602 patients and corresponding clinical information from six common fundus diseases and healthy volunteers. The image quality is annotated by three ophthalmologists based on the field of view, illumination, artifact, contrast, and overall quality. We believe this dataset could contribute to the development of automatic image quality assessment for UWF images in clinical practice.
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Dataset_Labels.xlsx
Published on (4 days ago)
This xlsx file contains labels assigned to each patient based on their ROP fundus images. The images were reviewed by five individual specialists, denoted as A to E, who provided classifications in three different columns:a. "Status" with three conditions: "1 as normal," "2 as preplus," or "3 as plus." 0 means that status doesn’t specified.b. "Diagnostic" with three conditions: "no treatment," "revisit," or "treatment."c. "Stage" with assigned stage values ranging from one to five.Additionally,
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Comparative results with the literature.
Published on (4 days ago)
Glaucoma infection is rapidly spreading globally and the number of glaucoma patients is expected to exceed 110 million by 2040. Early identification and detection of glaucoma is particularly important as it can easily lead to irreversible vision damage or even blindness if not treated with intervention in the early stages. Deep learning has attracted much attention in the field of computer vision and has been widely studied especially in the recognition and diagnosis of ophthalmic diseases. It i
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Results of ablation experiments.
Published on (4 days ago)
Glaucoma infection is rapidly spreading globally and the number of glaucoma patients is expected to exceed 110 million by 2040. Early identification and detection of glaucoma is particularly important as it can easily lead to irreversible vision damage or even blindness if not treated with intervention in the early stages. Deep learning has attracted much attention in the field of computer vision and has been widely studied especially in the recognition and diagnosis of ophthalmic diseases. It i
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Characterization of photoreceptor degeneration in the rhodopsin P23H transgenic rat line 2 using optical coherence tomography
Published on (4 days ago)
PurposeTo characterize the optical coherence tomography (OCT) appearances of photoreceptor degeneration in the rhodopsin P23H transgenic rat (line 2) in relation to the histological, ultrastructural, and electroretinography (ERG) findings.Materials and methodsHomozygous rhodopsin P23H transgenic albino rats (line 2, very-slow degeneration model) were employed. Using OCT (Micron IV®; Phoenix Research Labs, Pleasanton, CA, USA), the natural course of photoreceptor degeneration was recorded from po
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Dataset_Details.xlsx
Published on (4 days ago)
This xlsx file serves as a repository of information regarding the patients and includes birth weight, gestation age, and gender.
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Comparitiva analysis.
Published on (4 days ago)
In response to the growing number of diabetes cases worldwide, Our study addresses the escalating issue of diabetic eye disease (DED), a significant contributor to vision loss globally, through a pioneering approach. We propose a novel integration of a Genetic Grey Wolf Optimization (G-GWO) algorithm with a Fully Convolutional Encoder-Decoder Network (FCEDN), further enhanced by a Kernel Extreme Learning Machine (KELM) for refined image segmentation and disease classification. This innovative co
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Performance evaluation matrices.
Published on (4 days ago)
In response to the growing number of diabetes cases worldwide, Our study addresses the escalating issue of diabetic eye disease (DED), a significant contributor to vision loss globally, through a pioneering approach. We propose a novel integration of a Genetic Grey Wolf Optimization (G-GWO) algorithm with a Fully Convolutional Encoder-Decoder Network (FCEDN), further enhanced by a Kernel Extreme Learning Machine (KELM) for refined image segmentation and disease classification. This innovative co
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Configuration of FCEDN.
Published on (4 days ago)
In response to the growing number of diabetes cases worldwide, Our study addresses the escalating issue of diabetic eye disease (DED), a significant contributor to vision loss globally, through a pioneering approach. We propose a novel integration of a Genetic Grey Wolf Optimization (G-GWO) algorithm with a Fully Convolutional Encoder-Decoder Network (FCEDN), further enhanced by a Kernel Extreme Learning Machine (KELM) for refined image segmentation and disease classification. This innovative co
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A Detailed description of the dataset.
Published on (4 days ago)
In response to the growing number of diabetes cases worldwide, Our study addresses the escalating issue of diabetic eye disease (DED), a significant contributor to vision loss globally, through a pioneering approach. We propose a novel integration of a Genetic Grey Wolf Optimization (G-GWO) algorithm with a Fully Convolutional Encoder-Decoder Network (FCEDN), further enhanced by a Kernel Extreme Learning Machine (KELM) for refined image segmentation and disease classification. This innovative co
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Macular Ganglion Cell Imaging Study: Covariate Effects on the Spectral Domain Optical Coherence Tomography for Glaucoma Diagnosis
Published on (4 days ago)
PurposeTo evaluate the effect of multiple covariates on the diagnostic performance of the Cirrus high-definition optical coherence tomography (HD-OCT) for glaucoma detection.MethodsA prospective case-control study was performed and included 173 recently diagnosed glaucoma patients and 63 unaffected individuals from the Macular Ganglion Cell Imaging Study. Regression analysis of receiver operating characteristic were conducted to evaluate the influence of age, spherical equivalent, axial length,
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Data for each institution.
Published on (4 days ago)
The estimation of central choroidal thickness from colour fundus images can improve disease detection. We developed a deep learning method to estimate central choroidal thickness from colour fundus images at a single institution, using independent datasets from other institutions for validation. A total of 2,548 images from patients who underwent same-day optical coherence tomography examination and colour fundus imaging at the outpatient clinic of Jichi Medical University Hospital were retrospe
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Parameters of the studied CNN models.
Published on (4 days ago)
The accuracy and interpretability of artificial intelligence (AI) are crucial for the advancement of optical coherence tomography (OCT) image detection, as it can greatly reduce the manual labor required by clinicians. By prioritizing these aspects during development and application, we can make significant progress towards streamlining the clinical workflow. In this paper, we propose an explainable ensemble approach that utilizes transfer learning to detect fundus lesion diseases through OCT im
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Data list.
Published on (4 days ago)
The accuracy and interpretability of artificial intelligence (AI) are crucial for the advancement of optical coherence tomography (OCT) image detection, as it can greatly reduce the manual labor required by clinicians. By prioritizing these aspects during development and application, we can make significant progress towards streamlining the clinical workflow. In this paper, we propose an explainable ensemble approach that utilizes transfer learning to detect fundus lesion diseases through OCT im
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Dataset for Development and in vivo imaging follow-up of laser-induced acute and chronic retinal vein occlusion mouse models
Published on (4 days ago)
This dataset corresponds to the paper titled 'Development and in vivo imaging follow-up of laser-induced acute and chronic retinal vein occlusion mouse models' by Xiaowei Xu, Xun Li, Qingqing Tang, Yi Zhang, Li Zhang, and Meixia Zhang, with Prof. Meixia Zhang ([email protected]) as the corresponding author.Representative images from the Retinopathy in 80mW, 100mW, and 120mW folder were depicted in Fig3. All aforementioned results were consolidated in the spreadsheet ‘Retinopathy in 80mW, 10
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The pre-training information in ViT-Base.
Published on (4 days ago)
Computer-aided diagnosis systems based on deep learning algorithms have shown potential applications in rapid diagnosis of diabetic retinopathy (DR). Due to the superior performance of Transformer over convolutional neural networks (CNN) on natural images, we attempted to develop a new model to classify referable DR based on a limited number of large-size retinal images by using Transformer. Vision Transformer (ViT) with Masked Autoencoders (MAE) was applied in this study to improve the classifi
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The pretraining information from ViT-Large.
Published on (4 days ago)
Computer-aided diagnosis systems based on deep learning algorithms have shown potential applications in rapid diagnosis of diabetic retinopathy (DR). Due to the superior performance of Transformer over convolutional neural networks (CNN) on natural images, we attempted to develop a new model to classify referable DR based on a limited number of large-size retinal images by using Transformer. Vision Transformer (ViT) with Masked Autoencoders (MAE) was applied in this study to improve the classifi
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The details of ViT-Large and ViT-Base.
Published on (4 days ago)
Computer-aided diagnosis systems based on deep learning algorithms have shown potential applications in rapid diagnosis of diabetic retinopathy (DR). Due to the superior performance of Transformer over convolutional neural networks (CNN) on natural images, we attempted to develop a new model to classify referable DR based on a limited number of large-size retinal images by using Transformer. Vision Transformer (ViT) with Masked Autoencoders (MAE) was applied in this study to improve the classifi
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The dataset used in this study.
Published on (4 days ago)
Computer-aided diagnosis systems based on deep learning algorithms have shown potential applications in rapid diagnosis of diabetic retinopathy (DR). Due to the superior performance of Transformer over convolutional neural networks (CNN) on natural images, we attempted to develop a new model to classify referable DR based on a limited number of large-size retinal images by using Transformer. Vision Transformer (ViT) with Masked Autoencoders (MAE) was applied in this study to improve the classifi
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patient51.rar
Published on (4 days ago)
A Patient with fundus images that taken by Ret-cam.
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Table 1_Longitudinal association of retinal morphology and white matter progression in retinal vasculopathy with cerebral leukoencephalopathy and systemic manifestations.xlsx
Published on (4 days ago)
BackgroundRetinal vasculopathy with cerebral leukoencephalopathy and systemic manifestations (RVCL-S) is a rare small vessel disease marked by vision loss and neurocognitive deterioration. We sought to characterize the relatedness of the underlying retinal structure and cerebral disease.MethodsParticipants with RVCL-S underwent optical coherence tomography (OCT) and brain MRI at baseline and 2 years. Total macular volume (TMV) and central subfield thickness (CST) were generated from OCT images.
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Outcomes of Epiretinal membrane (ERM) Surgery at a UK Tertiary Centre: A Retrospective Audit
Published on (4 days ago)
This retrospective audit evaluated the outcomes of epiretinal membrane (ERM) surgery over a 12-month period at a UK tertiary ophthalmology centre. A total of 39 primary ERM cases were analysed for changes in visual acuity, OCT-based prognostic indicators, complication rates, and surgical technique—particularly internal limiting membrane (ILM) peeling. The majority of patients experienced an improvement of ≥2 Snellen lines, even in the context of a higher-than-expected prevalence of poor prognost
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Comparison of OCT values for TIG patients.
Published on (4 days ago)
Background Timely anti-vascular endothelial growth factor (VEGF) therapy is essential for visual function in neovascular age-related macular degeneration (nAMD). The coronavirus pandemic has led to unprecedented delays in anti-VEGF intravitreal therapy because of the need to reduce hospital attendance. Objectives To assess the long-term impact of COVID-19 pandemic-related delays in intravitreal anti-VEGF therapy on nAMD patients. Methods This was a retrospective study of 98 patients (102 eyes)
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Comparison of BCVA values for TCG patients.
Published on (4 days ago)
Background Timely anti-vascular endothelial growth factor (VEGF) therapy is essential for visual function in neovascular age-related macular degeneration (nAMD). The coronavirus pandemic has led to unprecedented delays in anti-VEGF intravitreal therapy because of the need to reduce hospital attendance. Objectives To assess the long-term impact of COVID-19 pandemic-related delays in intravitreal anti-VEGF therapy on nAMD patients. Methods This was a retrospective study of 98 patients (102 eyes)
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patient54.rar
Published on (4 days ago)
A Patient with fundus images that taken by Ret-cam.
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patient59.rar
Published on (4 days ago)
A Patient with fundus images that taken by Ret-cam.
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OCT findings of epiretinal membrane (ERM), macular pseudohole (MPH), ERM-foveoschisis (ERM-FS) and lamellar macular hole (LMH).
Published on (4 days ago)
OCT findings of epiretinal membrane (ERM), macular pseudohole (MPH), ERM-foveoschisis (ERM-FS) and lamellar macular hole (LMH).
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Raw data for all parameters.
Published on (4 days ago)
PurposeTo evaluate the optical coherence tomography (OCT) findings of epiretinal membrane (ERM) and its three associated diseases: macular pseudohole (MPH), ERM-foveoschisis (ERM-FS), and lamellar macular hole (LMH).MethodsWe retrospectively reviewed all eyes that underwent vitrectomy with a follow-up of at least 6 months. All eyes were classified into four groups, ERM, MPH, ERM-FS, and LMH based on spectral-domain (SD) OCT findings. Factors analyzed included preoperative and postoperative best-
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Table 1_Macular inner retinal layers in multiple sclerosis.docx
Published on (4 days ago)
AimTo evaluate the structural changes of individual inner retinal layers in the macular area and identify the most affected layer in subgroups of multiple sclerosis (MS) patients compared to healthy controls (HC).MethodsIn total, Optical coherence tomography (OCT) data from 507 MS patients and 183 HC were exported retrospectively. The MS patients were grouped according to MS sub-types, primary progressive (PP), Relapsing–Remitting (RR) and Secondary progressive (SP). Thickness of four inner reti
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patient18.rar
Published on (4 days ago)
A Patient with fundus images that taken by Ret-cam.
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patient07.rar
Published on (4 days ago)
A Patient with fundus images that taken by Ret-cam.
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Performance comparison of Model 1, Model 2 (Variations 1, 3, 5), and Model 3.
Published on (4 days ago)
Performance comparison of Model 1, Model 2 (Variations 1, 3, 5), and Model 3.
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Patient Demographics for FTMH and ERM eyes.
Published on (4 days ago)
There is a growing interest in using computer-assisted models for the detection of macular conditions using optical coherence tomography (OCT) data. As the quantity of clinical scan data of specific conditions is limited, these models are typically developed by fine-tuning a generalized network to classify specific macular conditions of interest. Full thickness macular holes (FTMH) present a condition requiring urgent surgical repair to prevent vision loss. Other works on automated FTMH classifi
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patient08.rar
Published on (4 days ago)
A Patient with fundus images that taken by Ret-cam.
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patient10.rar
Published on (4 days ago)
A Patient with fundus images that taken by Ret-cam.
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Prediction results.
Published on (4 days ago)
BackgroundThe purpose of this study was to develop a model that can predict the postoperative visual acuity in eyes that had undergone vitrectomy for an epiretinal membrane (ERM). The Light Gradient Boosting Machine (LightGBM) was used to evaluate the accuracy of the prediction and the contribution of the explanatory variables. Two models were designed to predict the postoperative visual acuity in 67 ERM patients. Model 1 used the age, sex, affected eye, axial length, preoperative visual acuity,
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Evaluation of multicollinearity in Model 2.
Published on (4 days ago)
BackgroundThe purpose of this study was to develop a model that can predict the postoperative visual acuity in eyes that had undergone vitrectomy for an epiretinal membrane (ERM). The Light Gradient Boosting Machine (LightGBM) was used to evaluate the accuracy of the prediction and the contribution of the explanatory variables. Two models were designed to predict the postoperative visual acuity in 67 ERM patients. Model 1 used the age, sex, affected eye, axial length, preoperative visual acuity,
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patient27.rar
Published on (4 days ago)
A Patient with fundus images that taken by Ret-cam.
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patient05.rar
Published on (4 days ago)
A Patient with fundus images that taken by Ret-cam.
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Evaluation of multicollinearity in Model 1.
Published on (4 days ago)
BackgroundThe purpose of this study was to develop a model that can predict the postoperative visual acuity in eyes that had undergone vitrectomy for an epiretinal membrane (ERM). The Light Gradient Boosting Machine (LightGBM) was used to evaluate the accuracy of the prediction and the contribution of the explanatory variables. Two models were designed to predict the postoperative visual acuity in 67 ERM patients. Model 1 used the age, sex, affected eye, axial length, preoperative visual acuity,
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Features of OCT images (n = 67).
Published on (4 days ago)
BackgroundThe purpose of this study was to develop a model that can predict the postoperative visual acuity in eyes that had undergone vitrectomy for an epiretinal membrane (ERM). The Light Gradient Boosting Machine (LightGBM) was used to evaluate the accuracy of the prediction and the contribution of the explanatory variables. Two models were designed to predict the postoperative visual acuity in 67 ERM patients. Model 1 used the age, sex, affected eye, axial length, preoperative visual acuity,
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Multiple linear regression analysis for functional and anatomical outcomes.
Published on (4 days ago)
Multiple linear regression analysis for functional and anatomical outcomes.
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Correlations of retinal morphology with preoperative parameters.
Published on (4 days ago)
Correlations of retinal morphology with preoperative parameters.
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patient19.rar
Published on (4 days ago)
A Patient with fundus images that taken by Ret-cam.
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patient20.rar
Published on (4 days ago)
A Patient with fundus images that taken by Ret-cam.
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Correlations of visual acuity with preoperative parameters.
Published on (4 days ago)
Correlations of visual acuity with preoperative parameters.
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Preoperative FAZ parameters, CCP and CCT.
Published on (4 days ago)
PurposeTo investigate the preoperative choriocapillaris perfusion (CCP) as a biomarker in patients with idiopathic epiretinal membrane (iERM).Materials and methods28 patients (28 eyes) with unilateral iERM who received pars plana vitrectomy (PPV) with internal limiting membrane (ILM) peeling were included for retrospective observational study. Optical coherence tomography (OCT) and angiography (OCTA) was performed before and after PPV. Area, perimeter, and circularity of superficial foveal avasc
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Demographics of the patients and characteristics of the study eyes.
Published on (4 days ago)
Demographics of the patients and characteristics of the study eyes.
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patient17.rar
Published on (4 days ago)
A Patient with fundus images that taken by Ret-cam.
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patient06.rar
Published on (4 days ago)
A Patient with fundus images that taken by Ret-cam.
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patient14.rar
Published on (4 days ago)
A Patient with fundus images that taken by Ret-cam.
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patient04.rar
Published on (4 days ago)
A Patient with fundus images that taken by Ret-cam.
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patient11.rar
Published on (4 days ago)
A Patient with fundus images that taken by Ret-cam.
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patient02.rar
Published on (4 days ago)
A Patient with fundus images that taken by Ret-cam.
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patient15.rar
Published on (4 days ago)
A Patient with fundus images that taken by Ret-cam.
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patient26.rar
Published on (4 days ago)
A Patient with fundus images that taken by Ret-cam.
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patient50.rar
Published on (4 days ago)
A Patient with fundus images that taken by Ret-cam.
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Data Sheet 1_Imaging and functional correlates of fibrosis in neovascular age-related macular degeneration: a systematic review.docx
Published on (4 days ago)
BackgroundDespite intravitreal anti–vascular endothelial growth factor (VEGF) therapy being the standard of care for neovascular age-related macular degeneration (nAMD), long-term visual decline remains common, with subretinal fibrosis representing a major cause of irreversible vision loss. Objective: To systematically evaluate how imaging-defined fibrosis in nAMD is defined and quantified, its incidence under anti-VEGF therapy, associated baseline associations, and its impact on visual outcomes
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<p>Analysis of Factors Related to Current BCVA (logMAR) in nAMD Patients.</p>
Published on (4 days ago)
Analysis of Factors Related to Current BCVA (logMAR) in nAMD Patients.
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<p>Analysis of Differences in Clinical Characteristics of nAMD Patients across Different Retinal Morphological Parameters.</p>
Published on (4 days ago)
Analysis of Differences in Clinical Characteristics of nAMD Patients across Different Retinal Morphological Parameters.
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<p>Baseline Demographics of nAMD Group and Control Group.</p>
Published on (4 days ago)
Baseline Demographics of nAMD Group and Control Group.
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<p>Relationships between pre- and postoperative OCT parameters and visual acuity in lamellar macular hole.</p>
Published on (4 days ago)
Relationships between pre- and postoperative OCT parameters and visual acuity in lamellar macular hole.
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<p>Demographics and clinical characteristics of patients with LMH.</p>
Published on (4 days ago)
Demographics and clinical characteristics of patients with LMH.
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Table 1_Assessment of optic disc parameter changes in head and neck cancer patients undergoing radiotherapy based on OCT.docx
Published on (4 days ago)
BackgroundRadiotherapy to the head and neck is an important treatment modality for malignant head and neck tumors, but it often leads to various ocular complications, including optic neuropathy. The optic disc, as a key part of the visual conduction pathway, is an important indicator for evaluating radiation-related ocular complications. Optical coherence tomography (OCT) can provide detailed structural information of the retina and optic disc, which is helpful for early detection of minor struc
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Table 1_Retinal thickness is indicative of visual loss in patients with occipital lobe infarction.docx
Published on (4 days ago)
PurposeWe explored the relationship between retinal thicknesses and vessels using optical coherence tomography angiography (OCT)/ OCT angiography (OCTA) and clinical outcomes in occipital lobe infarction (OI).MethodsA total of 52 OI patients and 105 controls underwent macular OCT/OCTA scans covering a 6 × 6 mm2 area around the fovea. The retinal nerve fiber layer (RNFL), ganglion cell-inner plexiform layer (GCIPL), superficial vascular complex (SVC), and deep vascular complex (DVC) were measured
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Comparison of various models for retinal disease classification.
Published on (4 days ago)
Comparison of various models for retinal disease classification.
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Ophthalmological and cognitive data in t-AD and PCA
Published on (4 days ago)
Alzheimer's disease (AD) manifests commonly as an amnestic syndrome (tAD), but also as a rarer focal type, such as Posterior Cortical Atrophy (PCA-AD), which primarily impairs visuospatial functions. In addition to the brain atrophy, retinal degeneration has been demonstrated, associated with the accumulation of Ab and Tau protein in this tissue, which shares a common origin with the brain. Additionally, retrograde trans-synaptic degeneration from the brain could affect the retina. We hypothesiz
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Blood test data.
Published on (4 days ago)
PurposeMacular retinal volumes can be measured by optical coherence tomography (OCT). However, the underlying pathogenesis was obscure. We compared the OCT and serum lipid data in participants with or without diabetes mellitus (DM) and diabetic retinopathy (DR) to explore the interpretation of the OCT data.MethodsData for eye examinations and blood tests in 41 eyes of 41 participants (23 men; mean age 49.1 ± 8.3) were analyzed. Eyes without macular lesions were included.ResultsMean macular retin
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Characteristic of the eyes.
Published on (4 days ago)
PurposeMacular retinal volumes can be measured by optical coherence tomography (OCT). However, the underlying pathogenesis was obscure. We compared the OCT and serum lipid data in participants with or without diabetes mellitus (DM) and diabetic retinopathy (DR) to explore the interpretation of the OCT data.MethodsData for eye examinations and blood tests in 41 eyes of 41 participants (23 men; mean age 49.1 ± 8.3) were analyzed. Eyes without macular lesions were included.ResultsMean macular retin
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Raw data of the participants.
Published on (4 days ago)
PurposeMacular retinal volumes can be measured by optical coherence tomography (OCT). However, the underlying pathogenesis was obscure. We compared the OCT and serum lipid data in participants with or without diabetes mellitus (DM) and diabetic retinopathy (DR) to explore the interpretation of the OCT data.MethodsData for eye examinations and blood tests in 41 eyes of 41 participants (23 men; mean age 49.1 ± 8.3) were analyzed. Eyes without macular lesions were included.ResultsMean macular retin
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Deep learning segmentation projects of FIB-SEM dataset of U2-OS cell
Published on (4 days ago)
This submission includes ground truth datasets that were used to segment the nuclear envelope (NE), mitochondria, endoplasmic reticulum (ER) and Golgi from a human bone osteosarcoma epithelial cell (U2-OS) imaged using focused-ion beam scanning electron microscopy (FIB-SEM). The full FIB-SEM dataset is deposited to EMPIAR ( https://www.ebi.ac.uk/empiar , EMPIAR-11746).
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Multiple regression analysis between postoperative best-corrected visual acuity (BCVA) and preoperative BCVA and OCT findings in epiretinal membrane (ERM), macular pseudohole (MPH), ERM-foveoschisis (
Published on (4 days ago)
Multiple regression analysis between postoperative best-corrected visual acuity (BCVA) and preoperative BCVA and OCT findings in epiretinal membrane (ERM), macular pseudohole (MPH), ERM-foveoschisis (ERM-FS) and lamellar macular hole (LMH).
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Relationships between preoperative OCT findings and visual acuity in epiretinal membrane (ERM), macular pseudohole (MPH), ERM-foveoschisis (ERM-FS) and lamellar macular hole (LMH).
Published on (4 days ago)
Relationships between preoperative OCT findings and visual acuity in epiretinal membrane (ERM), macular pseudohole (MPH), ERM-foveoschisis (ERM-FS) and lamellar macular hole (LMH).
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Comparison of BCVA values for TIG patients.
Published on (4 days ago)
Background Timely anti-vascular endothelial growth factor (VEGF) therapy is essential for visual function in neovascular age-related macular degeneration (nAMD). The coronavirus pandemic has led to unprecedented delays in anti-VEGF intravitreal therapy because of the need to reduce hospital attendance. Objectives To assess the long-term impact of COVID-19 pandemic-related delays in intravitreal anti-VEGF therapy on nAMD patients. Methods This was a retrospective study of 98 patients (102 eyes)
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Data Sheet 1_Prediction of heart failure risk factors from retinal optical imaging via explainable machine learning.docx
Published on (4 days ago)
Over 64 million people worldwide are affected by heart failure (HF), a condition that significantly raises mortality and medical expenses. In this study, we explore the potential of retinal optical coherence tomography (OCT) features as non-invasive biomarkers for the classification of heart failure subtypes: left ventricular heart failure (LVHF), congestive heart failure (CHF), and unspecified heart failure (UHF). By analyzing retinal measurements from the left eye, right eye, and both eyes, we
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Table 1_Retinal microvascular density and inner thickness in Alzheimer’s disease and mild cognitive impairment.docx
Published on (4 days ago)
BackgroundAlzheimer’s disease (AD) is a major healthcare challenge, with existing diagnostics being costly/infeasible. This study explores retinal biomarkers from optical coherence tomography (OCT) and OCT angiography (OCTA) as a cost-effective and non-invasive solution to differentiate AD, mild cognitive impairment (MCI), and healthy controls (HCs).MethodsParticipants from the CALLIOPE Research Program were classified as “Dem” (AD and early AD), “MCI,” and “HCs” using neuropsychological tests a
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Table 3_Retinal microvascular density and inner thickness in Alzheimer’s disease and mild cognitive impairment.docx
Published on (4 days ago)
BackgroundAlzheimer’s disease (AD) is a major healthcare challenge, with existing diagnostics being costly/infeasible. This study explores retinal biomarkers from optical coherence tomography (OCT) and OCT angiography (OCTA) as a cost-effective and non-invasive solution to differentiate AD, mild cognitive impairment (MCI), and healthy controls (HCs).MethodsParticipants from the CALLIOPE Research Program were classified as “Dem” (AD and early AD), “MCI,” and “HCs” using neuropsychological tests a
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Table 2_Retinal microvascular density and inner thickness in Alzheimer’s disease and mild cognitive impairment.docx
Published on (4 days ago)
BackgroundAlzheimer’s disease (AD) is a major healthcare challenge, with existing diagnostics being costly/infeasible. This study explores retinal biomarkers from optical coherence tomography (OCT) and OCT angiography (OCTA) as a cost-effective and non-invasive solution to differentiate AD, mild cognitive impairment (MCI), and healthy controls (HCs).MethodsParticipants from the CALLIOPE Research Program were classified as “Dem” (AD and early AD), “MCI,” and “HCs” using neuropsychological tests a
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Table 4_Retinal microvascular density and inner thickness in Alzheimer’s disease and mild cognitive impairment.docx
Published on (4 days ago)
BackgroundAlzheimer’s disease (AD) is a major healthcare challenge, with existing diagnostics being costly/infeasible. This study explores retinal biomarkers from optical coherence tomography (OCT) and OCT angiography (OCTA) as a cost-effective and non-invasive solution to differentiate AD, mild cognitive impairment (MCI), and healthy controls (HCs).MethodsParticipants from the CALLIOPE Research Program were classified as “Dem” (AD and early AD), “MCI,” and “HCs” using neuropsychological tests a
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Data Sheet 1_Quantifying the spatial patterns of retinal ganglion cell loss and progression in optic neuropathy by applying a deep learning variational autoencoder approach to optical coherence tomogr
Published on (4 days ago)
IntroductionGlaucoma, optic neuritis (ON), and non-arteritic anterior ischemic optic neuropathy (NAION) produce distinct patterns of retinal ganglion cell (RGC) damage. We propose a booster Variational Autoencoder (bVAE) to capture spatial variations in RGC loss and generate latent space (LS) montage maps that visualize different degrees and spatial patterns of optic nerve bundle injury. Furthermore, the bVAE model is capable of tracking the spatial pattern of RGC thinning over time and classify
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Table 1_Factors influencing image quality in Tibetan children by optical coherence tomography.docx
Published on (4 days ago)
PurposeThis study aim to investigate the clinical findings of subjects characteristics and image quality related factors in Tibetan children by optical coherence tomography (OCT) in epidemiological cohort study.MethodsParticipants were 1,856 first-grade students (mean age = 6.82 ± 0.46 years) from seven selected elementary schools in Lhasa. Following comprehensive systemic and ophthalmic examinations, OCT scans were assessed by specialists with manual segmentation as needed.ResultsA total of 1,6
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Data Sheet 1_Retinal biomarkers for the risk of Alzheimer’s disease and frontotemporal dementia.docx
Published on (4 days ago)
PurposeDifferentiating between Alzheimer’s disease (AD) and frontotemporal dementia (FTD) can be challenging due to overlapping cognitive and behavioral manifestations. Evidence regarding non-invasive and early-stage biomarkers remains limited. Our aim was to identify retinal biomarkers for the risk of AD and FTD in populations without dementia and explore underlying brain structural mechanisms.MethodsWe included a total of 3,0573 UK Biobank participants without dementia, ocular disorders, and d
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Comparison between eyes with and without visual gain of 3 lines or more.
Published on (4 days ago)
Comparison between eyes with and without visual gain of 3 lines or more.
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Changes of topographic parameters in affected eyes and healthy fellow eyes.
Published on (4 days ago)
Changes of topographic parameters in affected eyes and healthy fellow eyes.
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Correlation between GCC and GCIPL with SE groups.
Published on (4 days ago)
PurposeThis study investigates the agreement of children’s retinal thickness classification by color category between Topcon 3D OCT-1’s built-in adult reference data and our new pediatric database and assesses the correlation of retinal thickness with age and spherical equivalent (SE).Methods160 eyes of 160 healthy children (74 boys, 86 girls) aged 6–18 years (mean: 11.60 ± 3.28 years) were evaluated in this cross-sectional study. The peripapillary retinal nerve fibre layer (pRNFL) and macular t
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GCC and GCIPL thickness profiles.
Published on (4 days ago)
PurposeThis study investigates the agreement of children’s retinal thickness classification by color category between Topcon 3D OCT-1’s built-in adult reference data and our new pediatric database and assesses the correlation of retinal thickness with age and spherical equivalent (SE).Methods160 eyes of 160 healthy children (74 boys, 86 girls) aged 6–18 years (mean: 11.60 ± 3.28 years) were evaluated in this cross-sectional study. The peripapillary retinal nerve fibre layer (pRNFL) and macular t
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Results of multivariate mixed-effect models showing the factors associated with the slope of the retinal nerve fibre layer (RNFL) thickness in eyes with open-angle glaucoma. Values represent Co-effici
Published on (4 days ago)
Results of multivariate mixed-effect models showing the factors associated with the slope of the retinal nerve fibre layer (RNFL) thickness in eyes with open-angle glaucoma. Values represent Co-efficient ± Standard error with p value in parenthesis.
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Results of univariate analysis evaluating the effect of each predictive variable on the retinal nerve fiber layer (RNFL) in eyes with open-angle glaucoma.
Published on (4 days ago)
Results of univariate analysis evaluating the effect of each predictive variable on the retinal nerve fiber layer (RNFL) in eyes with open-angle glaucoma.
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Characteristics of Patients with Open-angle glaucoma (111 hemifields from 59 eyes of 36 patients).
Published on (4 days ago)
Characteristics of Patients with Open-angle glaucoma (111 hemifields from 59 eyes of 36 patients).
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Demographic, clinical, visual field and optical coherence tomography data of eyes with open-angle glaucoma .
Published on (4 days ago)
Demographic, clinical, visual field and optical coherence tomography data of eyes with open-angle glaucoma .
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Table1_Characterization of retinal microvasculature and structure in atrial fibrillation.docx
Published on (4 days ago)
Background and objectiveQuantitative changes in retinal microvasculature are associated with subclinical cardiac alterations and clinical cardiovascular diseases (i.e., heart failure and coronary artery disease). Nonetheless, very little is known about the retinal vascular and structural changes in patients with atrial fibrillation (AF). Our study aims to characterize the microvasculature and structure of the retina in AF patients and explore their differences in different types of AF (paroxysma
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Table_1_Retinal ganglion cell-inner plexiform layer, white matter hyperintensities, and their interaction with cognition in older adults.DOCX
Published on (4 days ago)
PurposeWe explored the interaction of optical coherence tomography (OCT) parameters and white matter hyperintensities with cognitive measures in our older adult cohort.MethodsThis observational study enrolled participants who underwent a comprehensive neuropsychological battery, structural 3-T brain magnetic resonance imaging (MRI), visual acuity examination, and OCT imaging. Cerebral small vessel disease (CSVD) markers were read on MR images; lacune, cerebral microbleeds (CMB), white matter hyp
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Table_1_Cardiovascular disease and thinning of retinal nerve fiber layer in a multi-ethnic Asian population: the Singapore epidemiology of eye diseases study.DOCX
Published on (4 days ago)
IntroductionOur study aimed to examine the relationship between cardiovascular diseases (CVD) with peripapillary retinal fiber layer (RNFL) and macular ganglion cell-inner plexiform layer (GCIPL) thickness profiles in a large multi-ethnic Asian population study.Methods6,024 Asian subjects were analyzed in this study. All participants underwent standardized examinations, including spectral domain OCT imaging (Cirrus HD-OCT; Carl Zeiss Meditec). In total, 9,188 eyes were included for peripapillary
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The mean values of the clinical covariates of the glaucomatous eyes belonging to the 2 identified clusters in 3 age-groups.
Published on (4 days ago)
The mean values of the clinical covariates of the glaucomatous eyes belonging to the 2 identified clusters in 3 age-groups.
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Correlation between macular parameters with age and SE.
Published on (4 days ago)
Correlation between macular parameters with age and SE.
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Macular thickness profile based on ETDRS quadrants.
Published on (4 days ago)
Macular thickness profile based on ETDRS quadrants.
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Peripapillary RNFL thickness profile.
Published on (4 days ago)
PurposeThis study investigates the agreement of children’s retinal thickness classification by color category between Topcon 3D OCT-1’s built-in adult reference data and our new pediatric database and assesses the correlation of retinal thickness with age and spherical equivalent (SE).Methods160 eyes of 160 healthy children (74 boys, 86 girls) aged 6–18 years (mean: 11.60 ± 3.28 years) were evaluated in this cross-sectional study. The peripapillary retinal nerve fibre layer (pRNFL) and macular t
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Table 1_Compartmental analysis of retinal vascular parameters and thickness in myopic eyes using SS-OCTA.xlsx
Published on (4 days ago)
BackgroundThis study aimed to comprehensively explore the thickness and topographic distributions of retinal vessel alterations of different myopic eyes by using swept-source OCT angiography (SS-OCTA).MethodsOne hundred myopes were included in this observational cross-sectional study. All participants underwent a series of ocular examinations of biometrical parameters, including spherical equivalent refraction (SER), axial length (AL), intraocular pressure (IOP), curvature radius (CR), and other
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Demographics and clinical characteristics.
Published on (4 days ago)
ObjectiveFrontotemporal dementia (FTD) is a progressive neurodegenerative disorder that affects the frontal and temporal lobes of the brain, leading to cognitive decline and personality changes. The objective of this cross-sectional study was to characterize angioarchitectural changes in the retina and choroid of individuals with FTD compared to cognitively normal controls using optical coherence tomography (OCT) and OCT angiography (OCTA).MethodsCross-sectional comparison of patients with FTD a
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Clinical covariates of the glaucomatous eyes.
Published on (4 days ago)
We generated Optical Coherence Tomography (OCT) data of much higher resolution than usual on retinal nerve fiber layer (RNFL) thickness of a given eye. These consist of measurements made at hundreds of angular-points defined on a circular coordinate system. Traditional analysis of OCT RNFL data does not utilize insightful characteristics such as its circularity and granularity for common downstream applications. To address this, we present a new circular statistical framework that defines an Ang
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High-resolution OCT RNFL thickness dataset for glaucomatous Asian Indian eyes.
Published on (4 days ago)
Each row represents an anonymized glaucomatous eye. Each column represents an angular point on the circle. (CSV)
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High-resolution OCT RNFL thickness dataset for normal Asian Indian eyes.
Published on (4 days ago)
Each row represents an anonymized normal eye. Each column represents an angular point on the circle. (CSV)
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Data_Sheet_1_Peripapillary choroidal vascularity index and thickness in patients with systemic sclerosis.PDF
Published on (4 days ago)
IntroductionPatients with systemic sclerosis (SSc) present an increased risk of developing glaucomatous optic neuropathy (GON). We investigated peripapillary choroidal parameters and peripapillary retinal nerve fiber layer (RNFL) thickness using spectral domain optical coherence tomography (SD-OCT) to determine the relationships of these factors with clinical variables.MethodsA total of 33 patients with SSc were enrolled and compared to 40 controls. After obtaining circular scans around the opti
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Table_1_Peripapillary choroidal vascularity index and thickness in patients with systemic sclerosis.docx
Published on (4 days ago)
IntroductionPatients with systemic sclerosis (SSc) present an increased risk of developing glaucomatous optic neuropathy (GON). We investigated peripapillary choroidal parameters and peripapillary retinal nerve fiber layer (RNFL) thickness using spectral domain optical coherence tomography (SD-OCT) to determine the relationships of these factors with clinical variables.MethodsA total of 33 patients with SSc were enrolled and compared to 40 controls. After obtaining circular scans around the opti
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GRAPE dataset: VF and clinical information.xlsx
Published on (4 days ago)
The Excel file, “VF and clinical information”, contains 2 sheets, titled “Baseline” and “Follow-up”. There are 263 records representing 263 eyes and 80 columns in sheet “Baseline”, the last 61 columns of which are “VF”. These columns are in turn: “Subject Number” (inclusion subjects numbered as 1-144), “Laterality” (OD for right eye and OS for left eye), “Age”, “Gender” (M for male and F for female), “IOP”, “CCT”, “Total Visits” (the total times of visits for each eye), “Progression Status-PLR2”
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Data_Sheet_1_Differentiation of the retinal morphology aging trajectories in schizophrenia and their associations with cognitive dysfunctions.docx
Published on (4 days ago)
Previous studies evaluating the morphology of the selected retinal layers in schizophrenia showed abnormalities regarding macular thickness, retinal nerve fiber layer (RNLF), and ganglion cell complex (GCC). Concurrently, accumulating neuroimaging results suggest that structural alterations of the brain in this disease might be an effect of accelerated aging. Referring to these findings, we aimed to determine whether the thinning of the retinal layers assessed with the optic coherence tomography
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S1 Dataset -
Published on (4 days ago)
PurposeTo assess the ability of a new posterior pole protocol to detect areas with significant differences in retinal nerve fiber layer (RNFL) and ganglion cell layer (GCL) thickness in patients with multiple sclerosis versus healthy control subjects; in addition, to assess the correlation between RNFL and GCL thickness, disease duration, and the Expanded Disability Status Scale (EDSS).MethodsWe analyzed 66 eyes of healthy control subjects and 100 eyes of remitting-relapsing multiple sclerosis (
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All relevant data are within this file.
Published on (4 days ago)
PurposePost-acute non-arteritic ischemic optic neuropathy (NAION) and glaucomatous optic neuropathy (GON) can be difficult to differentiate clinically. Our objective was to identify optical coherence tomography (OCT) parameters to help differentiate these optic neuropathies.MethodsWe compared 12 eyes of 8 patients with NAION and 12 eyes of 12 patients with GON, matched for age and visual field mean deviation (MD). All patients underwent clinical assessment, automated perimetry (Humphrey Field An
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OCT individual retina layer thickness in PHIV children and healthy controls, cross-sectional substudy.
Published on (4 days ago)
OCT individual retina layer thickness in PHIV children and healthy controls, cross-sectional substudy.
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a. OCT Individual Retina Layer Thickness in PHIV Children and Healthy Controls, longitudinal substudy visit 1. b. OCT Individual Retina Layer Thickness in PHIV Children and Healthy Controls, longitudi
Published on (4 days ago)
a. OCT Individual Retina Layer Thickness in PHIV Children and Healthy Controls, longitudinal substudy visit 1. b. OCT Individual Retina Layer Thickness in PHIV Children and Healthy Controls, longitudinal substudy visit 2.
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Area under receiver operating curve (AUROC), sensitivity and specificity of the RNFL parameters in diagnosis of early glaucoma (EG) and glaucoma suspect (GS).
Published on (4 days ago)
Area under receiver operating curve (AUROC), sensitivity and specificity of the RNFL parameters in diagnosis of early glaucoma (EG) and glaucoma suspect (GS).
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Area under receiver operating curve (AUROC), specificity and sensitivity of the GCIPL parameters in diagnosis of early glaucoma (EG) and glaucoma suspect (GS).
Published on (4 days ago)
Area under receiver operating curve (AUROC), specificity and sensitivity of the GCIPL parameters in diagnosis of early glaucoma (EG) and glaucoma suspect (GS).
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The association of mean difference of GCIPL and RNFL parameters.
Published on (4 days ago)
The association of mean difference of GCIPL and RNFL parameters.
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Demographic characteristics of participants.
Published on (4 days ago)
Demographic characteristics of participants.
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S1 File -
Published on (4 days ago)
(SAV)
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Table_1_A semantic segmentation method to analyze retinal vascular parameters of diabetic nephropathy.XLSX
Published on (4 days ago)
IntroductionBy using spectral domain optical coherence tomography (SD-OCT) to measure retinal blood vessels. The correlation between the changes of retinal vascular structure and the degree of diabetic nephropathy is analyzed with a full-pixel Semantic segmentation method.MethodsA total of 120 patients with diabetic nephropathy who were treated in the nephrology department of Quzhou People’s Hospital from March 2023 to March 2024 were selected and divided into three groups according to the urina
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DataSheet_1_Retinal structural and microvascular changes in myelin oligodendrocyte glycoprotein antibody disease and neuromyelitis optica spectrum disorder: An OCT/OCTA study.docx
Published on (4 days ago)
PurposeTo compare the optical coherence tomography (OCT)/OCT angiography (OCTA) measures in patients with neuromyelitis optica spectrum disorder (NMOSD) and myelin oligodendrocyte glycoprotein antibody disease (MOGAD).MethodsTwenty-one MOG, 21 NMOSD, and 22 controls were enrolled in our study. The retinal structure [retinal nerve fiber layer (RNFL) and ganglion cell–inner plexiform layer (GCIPL)] was imaged and assessed with the OCT; OCTA was used to image the macula microvasculature [superficia
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DataSheet_1_Changes in and the association of retinal blood perfusion and retinal nerves in diabetic patients without retinopathy.docx
Published on (4 days ago)
ObjectiveTo explore intraretinal blood flow perfusion and nerve changes, as well as the correlation between them, in diabetic patients without diabetic retinopathy (NDR).MethodEighty-six NDR patients (86 eyes) who attended the ophthalmology clinic between December 2019 and December 2021 were included. Sixty-four eyes of 64 healthy examined controls in the same period were selected as the control group. The patients underwent routine ophthalmological examination, optical coherence tomography (OCT
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Data Sheet 1_Vascular degeneration and retinal remodeling in rd10 mice: correlating OCT, OCTA, and histological findings.docx
Published on (4 days ago)
IntroductionIdentifying long-term changes in retinal structure and vasculature is essential for interpreting in vivo imaging techniques such as optical coherence tomography (OCT) and OCT angiography (OCTA) in retinal diseases. We characterized long-term alterations in vasculature, retinal structure, and glial cells by combining immunohistochemistry (IHC) with OCT and OCTA in a murine model of retinitis pigmentosa.MethodsTransversal retinal sections and wholemount retinas from C57BL/6J and rd10 m
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General characteristics of the study population.
Published on (4 days ago)
BackgroundBiomarkers are widely recognized as crucial breakthroughs in tackling amyotrophic lateral sclerosis (ALS). Among them, retina markers may hold promise due to the close retina-brain connection and non-invasive, portable detection methods. Thus, using optical coherence tomography (OCT), we investigated the link between baseline cell-level retinal features and future ALS risk.Methods and findingsParticipants from the UK Biobank underwent OCT scans to assess retinal layers, macula, and opt
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Data Sheet 1_Evaluation of retinal structure changes with AI-based OCT image segmentation for sodium iodate induced retinal degeneration.docx
Published on (4 days ago)
Segmentations of retinal optical coherence tomography (OCT) images provide valuable information about each specific retinal layer. However, processing images from degenerative retina remains challenging. This study developed artificial intelligence (AI)-based segmentation to analyze structure changes in sodium iodate (SI)-treated mice. The software is capable of segmenting seven retinal layers and one choroid layer. Analyzing OCT images captured at days post SI-injection (PI) revealed early chan
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Data Sheet 1_Case Report: Paracentral acute middle maculopathy following carotid artery dissection.pdf
Published on (4 days ago)
BackgroundParacentral acute middle maculopathy (PAMM) is a rare, presumed ischemic maculopathy. While primarily associated with retinal vascular pathologies, several case studies have documented PAMM diagnoses following systemic cardiovascular events or interventions. Here, we discuss a case of PAMM development after carotid artery dissection (CAD).Case presentationA woman in her late 30 s presented to the emergency department with transient right-side weakness and amaurosis in her left eye last
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Data_Sheet_1_Purtscher-like retinopathy and paracentral acute middle maculopathy associated with improper antihypertensive drug use: a case report.PDF
Published on (4 days ago)
BackgroundPurtscher-like retinopathy (PLR) is a rare retinal microangiopathy with unclear pathogenesis. Paracentral acute middle maculopathy (PAMM) is an optical coherence tomography (OCT) sign proposed in recent years, which is characterized by infarction of the middle layer of the retina. This article reported a rare case of PRL and PAMM probably related to improper antihypertensive drug use in a middle-aged male.Case presentationA 49-year-old man presented with a complaint of sudden-onset vis
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Data_Sheet_1_Application of novel non-invasive ophthalmic imaging to visualize peripapillary wrinkles, retinal folds and peripapillary hyperreflective ovoid mass-like structures associated with elevat
Published on (4 days ago)
BackgroundElevated intracranial pressure (ICP) is a serious and potentially life-threatening condition, for which clinically useful non-invasive measures have been elusive, in some cases due to their inadequate sensitivity and specificity. Our aim was to evaluate novel non-invasive ophthalmic imaging of selected pathological features seen in elevated ICP, namely peripapillary hyperreflective ovoid mass-like structures (PHOMS), peripapillary wrinkles (PPW) and retinal folds (RF) as potential biom
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S1 Data -
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PurposeTo analyze the morphological changes of macular neovascularization (MNV) in exudative neovascular age-related macular degeneration under long-term intravitreal anti-vascular endothelial growth factor (VEGF) therapy in a retrospective cohort study.Methods and patientsWe evaluated 143 nAMD eyes of 94 patients (31 male, 63 female; initial age 55–97 y, mean age 75.9 ± 7.5 y), who started anti-VEGF therapy (IVAN pro re nata (PRN) protocol) between 2009–2018 and received ongoing therapy until t
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Table_1_Agreement, repeatability, and reproducibility of quantitative retinal layer assessment using swept-source and spectral-domain optical coherence tomography in eyes with retinal diseases.DOCX
Published on (4 days ago)
PurposeTo evaluate the agreement and precision of retinal thickness measurements obtained using swept-source optical coherence tomography (SS-OCT) and spectral-domain OCT (SD-OCT) in healthy eyes and eyes with retinopathy.MethodsThis cross-sectional prospective study involved three DRI-OCT Triton (SS-OCT) and three 3D-OCT-1 Maestro (SD-OCT) devices. One of each device (Maestro and Triton) was paired with a single operator. Healthy subjects and patients with retinal diseases were recruited, with
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Table_2_Agreement, repeatability, and reproducibility of quantitative retinal layer assessment using swept-source and spectral-domain optical coherence tomography in eyes with retinal diseases.DOCX
Published on (4 days ago)
PurposeTo evaluate the agreement and precision of retinal thickness measurements obtained using swept-source optical coherence tomography (SS-OCT) and spectral-domain OCT (SD-OCT) in healthy eyes and eyes with retinopathy.MethodsThis cross-sectional prospective study involved three DRI-OCT Triton (SS-OCT) and three 3D-OCT-1 Maestro (SD-OCT) devices. One of each device (Maestro and Triton) was paired with a single operator. Healthy subjects and patients with retinal diseases were recruited, with
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Dataset description.
Published on (4 days ago)
Manual detection of eye diseases using retina Optical Coherence Tomography (OCT) images by Ophthalmologists is time consuming, prone to errors and tedious. Previous researchers have developed a computer aided system using deep learning-based convolutional neural networks (CNNs) to aid in faster detection of the retina diseases. However, these methods find it difficult to achieve better classification performance due to noise in the OCT image. Moreover, the pooling operations in CNN reduce resolu
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Supplementary Material for: Berlin’s Edema with Atypical Optical Coherence Tomography Findings: a case report
Published on (4 days ago)
Berlin’s edema is an acute traumatic maculopathy following ocular blunt trauma, with the major site of injury is photoreceptor outer segments and retinal pigment epithelium (RPE). Optical coherence tomography (OCT) is a useful tool to diagnose and follow microstructural changes in Berlin’s edema. In this report, we present an atypical case of berlin’s edema that resembled Vogt-Koyanagi-Harada (VKH) disease. OCT demonstrated multiple neurosensory detachments and giant cystic changes of outer reti
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Supplementary Material for: Macula-off retinal detachment with refractory macular hole previously closed with autologous platelet rich plasma: a case report
Published on (4 days ago)
PURPOSE: To report a case of a refractory full thickness macular hole (FTMH) complicated with recurrent retinal detachment (RD) previously treated with an autologous platelet rich plasma (aPRP) plug. CASE PRESENTATION: A 65-years old male patient presented to our department with a FTMH, retinal detachment (RD) and a giant retinal break. Preoperative best corrected visual acuity (BCVA) was 1.40 logMAR (20/500). A 25-G pars plana vitrectomy (PPV) was performed, with peripheral retinal-breaks lase
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Characteristics of healthy participants.
Published on (4 days ago)
PurposeTo examine whether extended interscan time (IST) on optical coherence tomography angiography (OCTA) can detect slow retinal blood flow, which is undetectable on default IST, in the healthy macula.MethodsOCTA (OCT-A1, Canon Inc.) scanning of a macular area measuring 4 × 4 mm2 of 14 healthy eyes of 14 healthy volunteers with no history or evidence of systemic and macular diseases was performed. ISTs were set at 7.6 (IST7.6, default setting), 12.0 (IST12.0), and 20.6 msec (IST20.6). Ten OCTA
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Mean postoperative change of BCVA and IOP.
Published on (4 days ago)
PurposeTo evaluate the functional and structural outcomes as well as postoperative complications after pars plana vitrectomy (PPV) for severe features of proliferative diabetic retinopathy (PDR) in type 1 and type 2 diabetes mellitus (DM) patients.MethodsTwenty two eyes of type 1 diabetics (DM1 group) and 27 eyes of type 2 diabetics (DM2 group) were included. Best corrected visual acuity (BCVA), intraocular pressure (IOP), postoperative structural changes in optical coherence tomography (OCT) an
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S1 Data -
Published on (4 days ago)
PurposeTo evaluate the functional and structural outcomes as well as postoperative complications after pars plana vitrectomy (PPV) for severe features of proliferative diabetic retinopathy (PDR) in type 1 and type 2 diabetes mellitus (DM) patients.MethodsTwenty two eyes of type 1 diabetics (DM1 group) and 27 eyes of type 2 diabetics (DM2 group) were included. Best corrected visual acuity (BCVA), intraocular pressure (IOP), postoperative structural changes in optical coherence tomography (OCT) an
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S1 Data -
Published on (4 days ago)
PurposeTo assess a new optical coherence tomography angiography (OCTA) technology and its contribution to retinal vascularization and choriocapillaris (CC) exploration.MethodsA new module, named “Beam expander” (BE), which increases the lateral resolution of OCTA, was used in combination with a prototype software in the PLEX® Elite 9000 Swept-Source OCT instrument (ZEISS, Dublin, CA). This prospective study involved 22 healthy subjects imaged with and without BE. Qualitative analysis of superfic
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Data_Sheet_1_A Baseline Study of Oxygen Saturation in Parafoveal Vessels Using Visible Light Optical Coherence Tomography.docx
Published on (4 days ago)
The retinal macula is at the center of our visual field, and thus pathological damage in the macula significantly impacts an individual's quality of life. The parafoveal vessels form the inner retina provide oxygen perfusion, and the measurement of parafoveal oxygen saturation (sO2) can evaluate macular metabolism and provide pathophysiological insight. In this paper, for the first time, we present a baseline study of microvascular oxygen saturation (sO2) in perifoveal macular region using visib
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Table_1_Inter-examiner and intra-examiner reliability of optical coherence tomography angiography in vascular density measurement of retinal and choriocapillaris plexuses in healthy children aged 6–15
Published on (4 days ago)
ObjectiveThis study aimed to test the inter-examiner and intra-examiner reliability of macular vascular density (VD) measurement of retinal and choriocapillaris plexuses in healthy children using optical coherence tomography angiography (OCTA).Materials and methodsNinety-two school children were prospectively recruited. Macular OCTA images (6 × 6 mm2) were obtained thrice by two examiners using the RTVue-XR Avanti OCT system. The coefficient of variation (COV), intraclass correlation coefficient
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DataSheet_1_Retinal imaging in animal models: Searching for biomarkers of neurodegeneration.pdf
Published on (4 days ago)
There is a pressing need for novel diagnostic and progression biomarkers of neurodegeneration. However, the inability to determine disease duration and stage in patients with Alzheimer’s disease (AD) hinders their discovery. Because animal models of disease allow us to circumvent some of these limitations, they have proven to be of paramount importance in clinical research. Due to the clear optics of the eye, the retina combined with optical coherence tomography (OCT) offers the perfect opportun
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Data_Sheet_1_Alteration of neurofilament heavy chain and its phosphoforms reveals early subcellular damage beyond the optic nerve head in glaucoma.docx
Published on (4 days ago)
BackgroundRetinal ganglion cells (RGCs) axon loss at the site of optic nerve head (ONH) is long believed as the common pathology in glaucoma since different types of glaucoma possessing different characteristic of intraocular pressure, and this damage was only detected at the later stage.MethodsTo address these disputes and detect early initiating events underlying RGCs, we firstly detected somatic or axonal change and compared their difference in acute and chronic phase of primary angle-closed
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Demographic and clinical data of patients.
Published on (4 days ago)
PurposeTo investigate the structure and function of the retina after scleral buckling (SB) surgery due to macula-on rhegmatogenous retinal detachment (RRD).MethodsTwenty eyes with repaired macula-on RRD and 20 fellow eyes were included. All patients within 6–12 months of the procedure, were examined to evaluate retinal structure using spectral domain optical coherence tomography (SD-OCT) and vessel density (VD) by OCT angiography (OCTA). Best corrected visual acuity (BCVA) and microperimetry (MP
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S1 Data -
Published on (4 days ago)
PurposeTo investigate the structure and function of the retina after scleral buckling (SB) surgery due to macula-on rhegmatogenous retinal detachment (RRD).MethodsTwenty eyes with repaired macula-on RRD and 20 fellow eyes were included. All patients within 6–12 months of the procedure, were examined to evaluate retinal structure using spectral domain optical coherence tomography (SD-OCT) and vessel density (VD) by OCT angiography (OCTA). Best corrected visual acuity (BCVA) and microperimetry (MP
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<p>Feature selection method with sampling ratio of 15% and error threshold of 0.2.</p>
Published on (4 days ago)
Feature selection method with sampling ratio of 15% and error threshold of 0.2.
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<p>Performance evaluation metrics.</p>
Published on (4 days ago)
Artificial Intelligence (AI) has been dramatically applied to healthcare in various tasks to support clinicians in disease diagnosis and prognosis. It has been known that accurate diagnosis must be drawn from multiple evidence, namely clinical records, X-Ray images, IoT data, etc called the multi-modal data. Despite the existence of various approaches for multi-modal medical data fusion, the development of comprehensive systems capable of integrating data from multiple sources and modalities rem
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Table_2_Choroidal morphologic and vascular features in patients with unilateral idiopathic epiretinal membranes: An optical coherence tomography analysis integrated with assessment of retinal layers.d
Published on (4 days ago)
IntroductionIntegrated analysis of retinal and choroidal morphologic and vascular features is urgently needed to examine whether and how these two elements interact with each other, thus contributing to visual impairment in patients with idiopathic epiretinal membranes (iERMs).MethodsAn observational retrospective study consisting of 181 patients diagnosed with unilateral iERM between August 2019 and July 2022 was carried out at Peking University Third Hospital. All patients underwent a standard
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Table_1_Choroidal morphologic and vascular features in patients with unilateral idiopathic epiretinal membranes: An optical coherence tomography analysis integrated with assessment of retinal layers.d
Published on (4 days ago)
IntroductionIntegrated analysis of retinal and choroidal morphologic and vascular features is urgently needed to examine whether and how these two elements interact with each other, thus contributing to visual impairment in patients with idiopathic epiretinal membranes (iERMs).MethodsAn observational retrospective study consisting of 181 patients diagnosed with unilateral iERM between August 2019 and July 2022 was carried out at Peking University Third Hospital. All patients underwent a standard
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Table1_Accuracy and feasibility with AI-assisted OCT in retinal disorder community screening.DOCX
Published on (4 days ago)
Objective: To evaluate the accuracy and feasibility of the auto-detection of 15 retinal disorders with artificial intelligence (AI)-assisted optical coherence tomography (OCT) in community screening.Methods: A total of 954 eyes of 477 subjects from four local communities were enrolled in this study from September to December 2021. They received OCT scans covering an area of 12 mm × 9 mm at the posterior pole retina involving the macular and optic disc, as well as other ophthalmic examinations pe
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Data_Sheet_1_Case report: Bilateral central serous chorioretinopathy-like abnormalities in a man with pulmonary arterial hypertension.pdf
Published on (4 days ago)
BackgroundPulmonary arterial hypertension (PAH) leads to progressive increases in pulmonary vascular resistance, right heart failure, and death if left untreated. Ocular complications secondary to PAH were less reported. In this study, we reported a case of bilateral visual loss and metamorphopsia in a patient with PAH, who developed central serous chorioretinopathy (CSCR)-like abnormalities and optic disc atrophy.Case summaryA 45-year-old man presented with decreasing central vision and metamor
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Data_Sheet_1_Alterations of optic tract and retinal structure in patients after thalamic stroke.docx
Published on (4 days ago)
ObjectivesTo investigate the association between degeneration of retinal structure and shrinkage of the optic tract in patients after thalamic stroke.Materials and methodsPatients with unilateral thalamic stroke were included. Structural magnetic resonance imaging (MRI) and optical coherence tomography (OCT) were performed to obtain parameters of optic tract shrinkage (lateral index) and retina structural thickness (retinal nerve fiber layer, RNFL; peripapillary retinal nerve fiber layer, pRNFL;
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Data_Sheet_1_Retinal Aging in 3× Tg-AD Mice Model of Alzheimer's Disease.pdf
Published on (4 days ago)
The retina, as part of the central nervous system (CNS), can be the perfect target for in vivo, in situ, and noninvasive neuropathology diagnosis and assessment of therapeutic efficacy. It has long been established that several age-related brain changes are more pronounced in Alzheimer's disease (AD). Nevertheless, in the retina such link is still under-explored. This study investigates the differences in the aging of the CNS through the retina of 3× Tg-AD and wild-type mice. A dedicated optical
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DataSheet_1_Progressive Retinal and Optic Nerve Damage in a Mouse Model of Spontaneous Opticospinal Encephalomyelitis.docx
Published on (4 days ago)
Neuromyelitis optica spectrum disorder (NMOSD) and myelin oligodendrocyte glycoprotein-antibody-associated disease (MOGAD) are antibody mediated CNS disorders mostly affecting the optic nerve and spinal cord with potential severe impact on the visual pathway. Here, we investigated inflammation and degeneration of the visual system in a spontaneous encephalomyelitis animal model. We used double-transgenic (2D2/Th) mice which develop a spontaneous opticospinal encephalomyelitis (OSE). Retinal morp
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Data_Sheet_1_High-Resolution Image Analysis Reveals a Decrease in Lens Thickness and Cone Density in a Cohort of Young Myopic Patients.docx
Published on (4 days ago)
Purpose: To study the association between axial length (AL) and the thickness of the lens, retina, choroid, and cone density with swept-source optical coherence tomography (SS-OCT) and an adaptive optics (AO) fundus camera.Design: A prospective cross-sectional study.Methods: This study included 136 eyes in 68 subjects. SS-OCT was used to quantify the thickness of the lens, ganglion cell complex (GCC) layer, inner nuclear layer (INL), outer retinal layer (ORL), and choroid layer. Adaptive optics
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Data Sheet 1_An interpretable machine learning model for detecting vision-threatening diabetic retinopathy among patients with diabetic retinopathy: a web-based cross-sectional study.docx
Published on (4 days ago)
BackgroundVision-threatening diabetic retinopathy (VTDR) is a severe complication of type 2 diabetes mellitus (T2DM), particularly prevalent in patients with prolonged disease duration, poor glycemic control, and systemic comorbidities. This condition frequently progresses asymptomatically toward irreversible blindness without timely intervention. The early identification of VTDR is challenging due to the lack of validated biomarkers and a reliance on subjective clinical assessments. This study
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Hyperparameter values used in our experiments.
Published on (4 days ago)
Diabetic retinopathy (DR) is a leading cause of vision impairment, which significantly impacts working-class populations, necessitating accurate and early diagnosis for effective treatment. Traditional DR classification relies on Convolutional Neural Network (CNN)-based models and extensive preprocessing. In this work, we propose a novel approach leveraging pre-trained models for feature extraction, followed by Graph Convolutional Networks (GCNs) for refined embedding representation. The extract
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Related work on diabetic retinopathy (DR): Contributions, datasets, and gaps.
Published on (4 days ago)
Related work on diabetic retinopathy (DR): Contributions, datasets, and gaps.
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Class distribution of the dataset. Each line lists the abbreviation, full disease name, and number of samples. The dataset covers 10 categories with varying representation. It ranges from rare cases s
Published on (4 days ago)
Class distribution of the dataset. Each line lists the abbreviation, full disease name, and number of samples. The dataset covers 10 categories with varying representation. It ranges from rare cases such as Pterygium (102 samples) to highly represented classes such as Diabetic Retinopathy (3,444 samples).
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Table1_The application of artificial intelligence in glaucoma diagnosis and prediction.DOCX
Published on (4 days ago)
Artificial intelligence is a multidisciplinary and collaborative science, the ability of deep learning for image feature extraction and processing gives it a unique advantage in dealing with problems in ophthalmology. The deep learning system can assist ophthalmologists in diagnosing characteristic fundus lesions in glaucoma, such as retinal nerve fiber layer defects, optic nerve head damage, optic disc hemorrhage, etc. Early detection of these lesions can help delay structural damage, protect v
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Data Sheet 1_Development and validation of a multivariable prediction model for non-invasive discrimination between diabetic and non-diabetic kidney disease in type 2 diabetes: a clinical nomogram.doc
Published on (4 days ago)
ObjectiveThis study aimed to develop a non-invasive diagnostic model to differentiate diabetic kidney disease (DKD) from non-diabetic kidney disease (NDKD) in type 2 diabetes mellitus (T2DM) patients with renal insufficiency.MethodsWe conducted a retrospective, biopsy-based study of diabetic patients with kidney dysfunction between July 2018 and August 2023. Patients were randomly split into training and validation cohorts (7:3). A multivariable logistic regression model based on routinely avail
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Data Sheet 2_Development and validation of a multivariable prediction model for non-invasive discrimination between diabetic and non-diabetic kidney disease in type 2 diabetes: a clinical nomogram.pdf
Published on (4 days ago)
ObjectiveThis study aimed to develop a non-invasive diagnostic model to differentiate diabetic kidney disease (DKD) from non-diabetic kidney disease (NDKD) in type 2 diabetes mellitus (T2DM) patients with renal insufficiency.MethodsWe conducted a retrospective, biopsy-based study of diabetic patients with kidney dysfunction between July 2018 and August 2023. Patients were randomly split into training and validation cohorts (7:3). A multivariable logistic regression model based on routinely avail
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<p>Tukey HSD results for total time.</p>
Published on (4 days ago)
Artificial Intelligence (AI) has been dramatically applied to healthcare in various tasks to support clinicians in disease diagnosis and prognosis. It has been known that accurate diagnosis must be drawn from multiple evidence, namely clinical records, X-Ray images, IoT data, etc called the multi-modal data. Despite the existence of various approaches for multi-modal medical data fusion, the development of comprehensive systems capable of integrating data from multiple sources and modalities rem
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<p>Tukey HSD results for accuracy.</p>
Published on (4 days ago)
Artificial Intelligence (AI) has been dramatically applied to healthcare in various tasks to support clinicians in disease diagnosis and prognosis. It has been known that accurate diagnosis must be drawn from multiple evidence, namely clinical records, X-Ray images, IoT data, etc called the multi-modal data. Despite the existence of various approaches for multi-modal medical data fusion, the development of comprehensive systems capable of integrating data from multiple sources and modalities rem
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<p>FKG-MM results with sampling ratio of 20% and error threshold of 0.3.</p>
Published on (4 days ago)
FKG-MM results with sampling ratio of 20% and error threshold of 0.3.
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<p>FKG-MM results with sampling ratio of 20% and error threshold of 0.2.</p>
Published on (4 days ago)
FKG-MM results with sampling ratio of 20% and error threshold of 0.2.
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<p>FKG-MM results with sampling ratio of 15% and error threshold of 0.3.</p>
Published on (4 days ago)
FKG-MM results with sampling ratio of 15% and error threshold of 0.3.
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<p>FKG-MM results with sampling ratio of 15% and error threshold of 0.2.</p>
Published on (4 days ago)
FKG-MM results with sampling ratio of 15% and error threshold of 0.2.
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<p>Feature selection method with sampling ratio of 15% and error threshold of 0.3.</p>
Published on (4 days ago)
Feature selection method with sampling ratio of 15% and error threshold of 0.3.
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Prediction errors according to glaucoma severity.
Published on (4 days ago)
PurposeThis study aimed to predict future visual field tests using a bidirectional gated recurrent unit (Bi-GRU) and assess its performance based on the number of input visual field tests and the prediction time interval.Materials and methodsThis study included patients who underwent visual field tests at least four times at five university hospitals between June 2004 and April 2022. All data were accessed in October 2022 for research purposes. In total, 23,517 eyes with 185,858 visual field tes
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Data Sheet 1_A machine learning model for predicting the risk of diabetic nephropathy in individuals with type 2 diabetes mellitus.docx
Published on (4 days ago)
IntroductionDiabetic kidney disease (DKD) represents the predominant form of chronic kidney disease (CKD) linked with diabetes mellitus. The application of artificial intelligence holds promise for delaying renal deterioration and decreasing treatment expenses by facilitating early detection and intervention. This is contingent upon the development of an efficient and user-friendly model for predicting DKD risk in diabetic individuals. In this study, leveraging extensive clinical datasets, we so
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Details on database.
Published on (4 days ago)
Intracranial haemorrhage (ICH) is a crucial medical emergency that entails prompt assessment and management. Compared to conventional clinical tests, the need for computerized medical assistance for properly recognizing brain haemorrhage from computer tomography (CT) scans is more mandatory. Various deep learning (DL) and artificial intelligence (AI) technologies have been successfully implemented for the analysis of medical images, namely grading of diabetic retinopathy (DR), breast cancer dete
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Link for analyzed digital image correlation data for eyes in the suturelysis study
Published on (4 days ago)
Link to complete analyzed DVC results for all subjects in the goggle-wearing experiments published inCzerpak CA, Kashaf MS, Zimmerman BK, Mirville R, Gasquet NC, Quigley HA, Nguyen TD. The Strain Response to Intraocular Pressure Increase in the Lamina Cribrosa of Control Subjects and Glaucoma Patients. Translational vision science & technology. 2024 December 2;13(12):7. PubMed PMID: 39630437; PubMed Central PMCID: PMC11627119; DOI: 10.1167/tvst.13.12.7.Data for each eye is stored in a folder nam
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The performance comparison summary of the DL and ML models for classifying normal, early, moderate and advanced glaucoma using five-fold cross-validation.
Published on (4 days ago)
The performance comparison summary of the DL and ML models for classifying normal, early, moderate and advanced glaucoma using five-fold cross-validation.
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The performance metrics of the random forest model in classifying normal, early, moderate and advanced glaucoma using five-fold cross-validation.
Published on (4 days ago)
The performance metrics of the random forest model in classifying normal, early, moderate and advanced glaucoma using five-fold cross-validation.
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Demographic features of the study population.
Published on (4 days ago)
PurposeIn this study, we investigated the performance of deep learning (DL) models to differentiate between normal and glaucomatous visual fields (VFs) and classify glaucoma from early to the advanced stage to observe if the DL model can stage glaucoma as Mills criteria using only the pattern deviation (PD) plots. The DL model results were compared with a machine learning (ML) classifier trained on conventional VF parameters.MethodsA total of 265 PD plots and 265 numerical datasets of Humphrey 2
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Comparison of the test results before and after expanding the data.
Published on (4 days ago)
Comparison of the test results before and after expanding the data.
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Additional file 2 of Wavelet image scattering based glaucoma detection
Published on (4 days ago)
Additional file 2. Glaucoma Hospital. This is an excel workbook containing classification results for the glaucoma class in the test set of the dataset partitioned by hospital. The workbook contains three worksheets. Each worksheet contains results for individual classification algorithm (i.e. SVM, LR and CNN).
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Performance analysis of pretrained convolutional neural network models for ophthalmological disease classification
Published on (4 days ago)
ABSTRACT Purpose: This study aimed to evaluate the classification performance of pretrained convolutional neural network models or architectures using fundus image dataset containing eight disease labels. Methods: A publicly available ocular disease intelligent recognition database has been used for the diagnosis of eight diseases. This ocular disease intelligent recognition database has a total of 10,000 fundus images from both eyes of 5,000 patients for the following eight diseases: healthy,
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Table_1_Detecting glaucoma from multi-modal data using probabilistic deep learning.docx
Published on (4 days ago)
ObjectiveTo assess the accuracy of probabilistic deep learning models to discriminate normal eyes and eyes with glaucoma from fundus photographs and visual fields.DesignAlgorithm development for discriminating normal and glaucoma eyes using data from multicenter, cross-sectional, case-control study.Subjects and participantsFundus photograph and visual field data from 1,655 eyes of 929 normal and glaucoma subjects to develop and test deep learning models and an independent group of 196 eyes of 98
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PERMANENT DATABASE - Virtual Clinic Timelines and Action Points
Published on (4 days ago)
Dataset - Number of days between referral and Glaucoma medical appointment along with different action points associated to each appointment
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Table_1_How Free-Viewing Eye Movements Can Be Used to Detect the Presence of Visual Field Defects in Glaucoma Patients.docx
Published on (4 days ago)
Purpose: There is a need for more intuitive perimetric screening methods, which can also be performed by elderly people and children currently unable to perform standard automated perimetry (SAP). Ideally, these methods should also be easier to administer, such that they may be used outside of a regular clinical environment. We evaluated the suitability of various methodological and analytical approaches for detecting and localizing VFD in glaucoma patients, based on eye movement recordings.Meth
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Table 2_Age-related macular degeneration associated with optic disc drusen.pdf
Published on (4 days ago)
ObjectiveThe aim of this study was to investigate the risk of age-related macular degeneration (AMD) in association with optic disc drusen (ODD).DesignThis was an observational, cross-sectional study.ParticipantsParticipants were consecutive patients with and without ODD from the neuro-ophthalmology clinic. Ten patients with concomitant ODD-AMD were sub-analyzed.MethodsThe two cohorts were identified from a prospectively recruited dataset between July 2022 and June 2024. Patients received formal
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An Optical Coherence Tomography Image Dataset for wet AMD Lesions Segmentation
Published on (4 days ago)
It contains the original OCT images of AMD and the segmented images, as well as the basic information of the patients and the grouping situation
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Dataset Glaucoma Symptom Scale
Published on (4 days ago)
Results of the Serbian GSS
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Comparison of the spatial algorithm with machine learning (SVM) for the classification of glaucoma.
Published on (4 days ago)
Comparison of the spatial algorithm with machine learning (SVM) for the classification of glaucoma.
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Fitted spatial statistical model and association with disease group in the ORIGA dataset.
Published on (4 days ago)
Fitted spatial statistical model and association with disease group in the ORIGA dataset.
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Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile
Published on (4 days ago)
BackgroundGlaucoma is the leading cause of irreversible blindness worldwide. It is a heterogeneous group of conditions with a common optic neuropathy and associated loss of peripheral vision. Both over and under-diagnosis carry high costs in terms of healthcare spending and preventable blindness. The characteristic clinical feature of glaucoma is asymmetrical optic nerve rim narrowing, which is difficult for humans to quantify reliably. Strategies to improve and automate optic disc assessment ar
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Classification results of RF model using the test dataset.
Published on (4 days ago)
There are two misclassified training samples in the table, one healthy sample is classified into the glaucoma group (FP and one glaucoma sample is classified into the healthy group (FN).
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Comprehensive 3D Optical Coherence Tomography Dataset for AMD and DME: Facilitating Deep-Learning-Based 3D Segmentation
Published on (4 days ago)
3D optical coherence tomography (OCT) dataset for 3D AMD and DME segmentation.
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Table 1_Age-related macular degeneration associated with optic disc drusen.pdf
Published on (4 days ago)
ObjectiveThe aim of this study was to investigate the risk of age-related macular degeneration (AMD) in association with optic disc drusen (ODD).DesignThis was an observational, cross-sectional study.ParticipantsParticipants were consecutive patients with and without ODD from the neuro-ophthalmology clinic. Ten patients with concomitant ODD-AMD were sub-analyzed.MethodsThe two cohorts were identified from a prospectively recruited dataset between July 2022 and June 2024. Patients received formal
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Comparing the five-fold cross-validation results of the presented method with previous studies on the NEH dataset.
Published on (4 days ago)
Comparing the five-fold cross-validation results of the presented method with previous studies on the NEH dataset.
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Table_1_Effect of idiopathic epiretinal membrane on macular ganglion cell complex measurement in eyes with glaucoma.docx
Published on (4 days ago)
Background/objectivesCo-existing idiopathic epiretinal membrane (ERM) and glaucoma complicate the estimation of glaucoma severity via optical coherence tomography (OCT). We investigated the effect of ERM and a new associated parameter, SUKIMA (space between the ERM and retinal surface), on ganglion cell complex (GCC) thickness in eyes with glaucoma, based on a matched comparison of visual field defects.Subjects/methodsWe retrospectively recruited 41 eyes from 34 glaucoma patients with idiopathic
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Results of the pre-trained micro and tiny MedViT models on the NEH dataset.
Published on (4 days ago)
Results of the pre-trained micro and tiny MedViT models on the NEH dataset.
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Data_Sheet_1_Synthetic artificial intelligence using generative adversarial network for retinal imaging in detection of age-related macular degeneration.docx
Published on (4 days ago)
IntroductionAge-related macular degeneration (AMD) is one of the leading causes of vision impairment globally and early detection is crucial to prevent vision loss. However, the screening of AMD is resource dependent and demands experienced healthcare providers. Recently, deep learning (DL) systems have shown the potential for effective detection of various eye diseases from retinal fundus images, but the development of such robust systems requires a large amount of datasets, which could be limi
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Table1_FunSwin: A deep learning method to analysis diabetic retinopathy grade and macular edema risk based on fundus images.DOCX
Published on (4 days ago)
Diabetic retinopathy (DR) and age-related macular degeneration (AMD) are forms of degenerative retinal disorders that may result in vision impairment or even permanent blindness. Early detection of these conditions is essential to maintaining a patient’s quality of life. The fundus photography technique is non-invasive, safe, and rapid way of assessing the function of the retina. It is widely used as a diagnostic tool for patients who suffer from fundus-related diseases. Using fundus images to a
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Table2_FunSwin: A deep learning method to analysis diabetic retinopathy grade and macular edema risk based on fundus images.docx
Published on (4 days ago)
Diabetic retinopathy (DR) and age-related macular degeneration (AMD) are forms of degenerative retinal disorders that may result in vision impairment or even permanent blindness. Early detection of these conditions is essential to maintaining a patient’s quality of life. The fundus photography technique is non-invasive, safe, and rapid way of assessing the function of the retina. It is widely used as a diagnostic tool for patients who suffer from fundus-related diseases. Using fundus images to a
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Table 1_Changes of retinal microvascular parameters in patients with type 2 diabetes mellitus with or without diabetic kidney disease.docx
Published on (4 days ago)
PurposeTo investigate the quantitative retinal microvascular parameters in patients with type 2 diabetes mellitus (T2DM) with or without diabetic kidney disease (DKD).MethodsThis retrospective study included 117 T2DM patients with DKD (DKD group) and 179 T2DM patients without DKD (non-DKD group). Quantitative retinal microvascular parameters were extracted from fundus photographs by an artificial intelligence (AI) system, including the number of retinal lesions (hard exudates, cotton wool spots,
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Data Sheet 1_Clinical validation of artificial intelligence algorithms for the detection of different central-involved retinal pathologies and glaucoma from non-mydriatic images.docx
Published on (4 days ago)
The use of Artificial intelligence (AI) algorithms for detecting different ophthalmic diseases, especially diabetic retinopathy (DR), has become increasingly popular. In this paper, we evaluate the screening performance of different AI algorithms based on convolutional neural networks (CNNs) in a real-world scenario. To that aim, we conducted an observational and cross-sectional study on patients aged ≥18 years with type-2 diabetes mellitus, who had undergone fundus examination for DR screening
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Data Sheet 1_Improving diabetic retinopathy screening using artificial intelligence: design, evaluation and before-and-after study of a custom development.pdf
Published on (4 days ago)
BackgroundThe worst outcomes of diabetic retinopathy (DR) can be prevented by implementing DR screening programs assisted by AI. At the University Hospital of Navarre (HUN), Spain, general practitioners (GPs) grade fundus images in an ongoing DR screening program, referring to a second screening level (ophthalmologist) target patients.MethodsAfter collecting their requirements, HUN decided to develop a custom AI tool, called NaIA-RD, to assist their GPs in DR screening. This paper introduces NaI
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Generalized Linear Model to assess the influence of factors in Fig 9 .
Published on (4 days ago)
Generalized Linear Model to assess the influence of factors in Fig 9 .
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Fraction of images that do not change the class label depending on the choice of regularization parameter . For this analysis, 40 images were chosen from each of the five classes, such that there were
Published on (4 days ago)
Fraction of images that do not change the class label depending on the choice of regularization parameter . For this analysis, 40 images were chosen from each of the five classes, such that there were 80 images for the “healthy to DR” direction and 120 for “DR to healthy”. For 73/80 and 100/120, class labels were correctly predicted for the original image. Then we evaluated the class label of the corresponding counterfactual.
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Generalized Linear Model to assess the influence of factors in Fig 3 .
Published on (4 days ago)
Generalized Linear Model to assess the influence of factors in Fig 3 .
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Evaluation of plain and robust classifiers in terms of standard and balanced accuracy.
Published on (4 days ago)
Evaluation of plain and robust classifiers in terms of standard and balanced accuracy.
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Outcome of the ablation study on the APTOS2019 dataset.
Published on (4 days ago)
Outcome of the ablation study on the APTOS2019 dataset.
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Data Sheet 1_A deep-learning pipeline for the diagnosis and grading of common blinding ophthalmic diseases based on lesion-focused classification model.pdf
Published on (4 days ago)
BackgroundGlaucoma (GLAU), Age-related Macular Degeneration (AMD), Retinal Vein Occlusion (RVO), and Diabetic Retinopathy (DR) are common blinding ophthalmic diseases worldwide.PurposeThis approach is expected to enhance the early detection and treatment of common blinding ophthalmic diseases, contributing to the reduction of individual and economic burdens associated with these conditions.MethodsWe propose an effective deep-learning pipeline that combine both segmentation model and classificati
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Data Sheet 3_A deep-learning pipeline for the diagnosis and grading of common blinding ophthalmic diseases based on lesion-focused classification model.pdf
Published on (4 days ago)
BackgroundGlaucoma (GLAU), Age-related Macular Degeneration (AMD), Retinal Vein Occlusion (RVO), and Diabetic Retinopathy (DR) are common blinding ophthalmic diseases worldwide.PurposeThis approach is expected to enhance the early detection and treatment of common blinding ophthalmic diseases, contributing to the reduction of individual and economic burdens associated with these conditions.MethodsWe propose an effective deep-learning pipeline that combine both segmentation model and classificati
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Outcome of the ablation study on the Messidor dataset.
Published on (4 days ago)
Outcome of the ablation study on the Messidor dataset.
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Lesion detection comparison between the state-of-the-arts and the proposed approach on the Messidor dataset.
Published on (4 days ago)
Lesion detection comparison between the state-of-the-arts and the proposed approach on the Messidor dataset.
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Overall participant characteristics.
Published on (4 days ago)
Metabolic dysfunction-associated steatotic liver disease (MASLD) is common in patients with obesity and diabetes and can lead to serious complications. This study aimed to evaluate fundus photographs using artificial intelligence to explore the relationships between diabetic retinopathy (DR), MASLD, and related factors. In this cross-sectional study, we included 1,736 patients with a history of diabetes treatment or glycated hemoglobin (HbA1c) levels of ≥6.5%. All participants were negative for
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Comparative analysis of the diagnostic ability of three imaging devices for concurrent retinal diseases with asteroid hyalosis.
Published on (4 days ago)
Comparative analysis of the diagnostic ability of three imaging devices for concurrent retinal diseases with asteroid hyalosis.
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Inter-rater reliability in the interpretation of retinal diseases accompanied by asteroid hyalosis across three imaging devices.
Published on (4 days ago)
Inter-rater reliability in the interpretation of retinal diseases accompanied by asteroid hyalosis across three imaging devices.
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Comparison of the grade assessment in fundus photographs by three imaging devices based on the degree of obscuration by asteroid bodies.
Published on (4 days ago)
Comparison of the grade assessment in fundus photographs by three imaging devices based on the degree of obscuration by asteroid bodies.
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Baseline characteristics for eyes with asteroid hyalosis.
Published on (4 days ago)
Baseline characteristics for eyes with asteroid hyalosis.
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Diabetic retinopathy classification from fundus images.
Published on (4 days ago)
Diabetic retinopathy classification from fundus images.
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Gradability classification results of DR-GPT.
Published on (4 days ago)
Diabetic retinopathy (DR) is a sight-threatening condition caused by diabetes. Screening programmes for DR include eye examinations, where the patient’s fundi are photographed, and the findings, including DR severity, are recorded in the medical report. However, statistical analyses based on DR severity require structured labels that calls for laborious manual annotation process if the report format is unstructured. In this work, we propose a large language model DR-GPT for classification of the
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ETDRS-T distributions for the labelled images.
Published on (4 days ago)
Diabetic retinopathy (DR) is a sight-threatening condition caused by diabetes. Screening programmes for DR include eye examinations, where the patient’s fundi are photographed, and the findings, including DR severity, are recorded in the medical report. However, statistical analyses based on DR severity require structured labels that calls for laborious manual annotation process if the report format is unstructured. In this work, we propose a large language model DR-GPT for classification of the
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ETDRS-T and RDR classification results of DR-GPT.
Published on (4 days ago)
Diabetic retinopathy (DR) is a sight-threatening condition caused by diabetes. Screening programmes for DR include eye examinations, where the patient’s fundi are photographed, and the findings, including DR severity, are recorded in the medical report. However, statistical analyses based on DR severity require structured labels that calls for laborious manual annotation process if the report format is unstructured. In this work, we propose a large language model DR-GPT for classification of the
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ETDRS distributions for the medical report data.
Published on (4 days ago)
A patient is counted for a label if the label is mentioned in any of the reports of the patient, and a report is counted for a label if the label is mentioned for either of the eyes. Development set denotes training and validation data. (XLSX)
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Data Sheet 2_A deep-learning pipeline for the diagnosis and grading of common blinding ophthalmic diseases based on lesion-focused classification model.pdf
Published on (4 days ago)
BackgroundGlaucoma (GLAU), Age-related Macular Degeneration (AMD), Retinal Vein Occlusion (RVO), and Diabetic Retinopathy (DR) are common blinding ophthalmic diseases worldwide.PurposeThis approach is expected to enhance the early detection and treatment of common blinding ophthalmic diseases, contributing to the reduction of individual and economic burdens associated with these conditions.MethodsWe propose an effective deep-learning pipeline that combine both segmentation model and classificati
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Table 1_A deep-learning pipeline for the diagnosis and grading of common blinding ophthalmic diseases based on lesion-focused classification model.docx
Published on (4 days ago)
BackgroundGlaucoma (GLAU), Age-related Macular Degeneration (AMD), Retinal Vein Occlusion (RVO), and Diabetic Retinopathy (DR) are common blinding ophthalmic diseases worldwide.PurposeThis approach is expected to enhance the early detection and treatment of common blinding ophthalmic diseases, contributing to the reduction of individual and economic burdens associated with these conditions.MethodsWe propose an effective deep-learning pipeline that combine both segmentation model and classificati
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Data Sheet 4_A deep-learning pipeline for the diagnosis and grading of common blinding ophthalmic diseases based on lesion-focused classification model.pdf
Published on (4 days ago)
BackgroundGlaucoma (GLAU), Age-related Macular Degeneration (AMD), Retinal Vein Occlusion (RVO), and Diabetic Retinopathy (DR) are common blinding ophthalmic diseases worldwide.PurposeThis approach is expected to enhance the early detection and treatment of common blinding ophthalmic diseases, contributing to the reduction of individual and economic burdens associated with these conditions.MethodsWe propose an effective deep-learning pipeline that combine both segmentation model and classificati
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Data Sheet 6_A deep-learning pipeline for the diagnosis and grading of common blinding ophthalmic diseases based on lesion-focused classification model.pdf
Published on (4 days ago)
BackgroundGlaucoma (GLAU), Age-related Macular Degeneration (AMD), Retinal Vein Occlusion (RVO), and Diabetic Retinopathy (DR) are common blinding ophthalmic diseases worldwide.PurposeThis approach is expected to enhance the early detection and treatment of common blinding ophthalmic diseases, contributing to the reduction of individual and economic burdens associated with these conditions.MethodsWe propose an effective deep-learning pipeline that combine both segmentation model and classificati
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Data Sheet 5_A deep-learning pipeline for the diagnosis and grading of common blinding ophthalmic diseases based on lesion-focused classification model.pdf
Published on (4 days ago)
BackgroundGlaucoma (GLAU), Age-related Macular Degeneration (AMD), Retinal Vein Occlusion (RVO), and Diabetic Retinopathy (DR) are common blinding ophthalmic diseases worldwide.PurposeThis approach is expected to enhance the early detection and treatment of common blinding ophthalmic diseases, contributing to the reduction of individual and economic burdens associated with these conditions.MethodsWe propose an effective deep-learning pipeline that combine both segmentation model and classificati
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Data Sheet 8_A deep-learning pipeline for the diagnosis and grading of common blinding ophthalmic diseases based on lesion-focused classification model.pdf
Published on (4 days ago)
BackgroundGlaucoma (GLAU), Age-related Macular Degeneration (AMD), Retinal Vein Occlusion (RVO), and Diabetic Retinopathy (DR) are common blinding ophthalmic diseases worldwide.PurposeThis approach is expected to enhance the early detection and treatment of common blinding ophthalmic diseases, contributing to the reduction of individual and economic burdens associated with these conditions.MethodsWe propose an effective deep-learning pipeline that combine both segmentation model and classificati
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Data Sheet 7_A deep-learning pipeline for the diagnosis and grading of common blinding ophthalmic diseases based on lesion-focused classification model.pdf
Published on (4 days ago)
BackgroundGlaucoma (GLAU), Age-related Macular Degeneration (AMD), Retinal Vein Occlusion (RVO), and Diabetic Retinopathy (DR) are common blinding ophthalmic diseases worldwide.PurposeThis approach is expected to enhance the early detection and treatment of common blinding ophthalmic diseases, contributing to the reduction of individual and economic burdens associated with these conditions.MethodsWe propose an effective deep-learning pipeline that combine both segmentation model and classificati
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Data_Sheet_1_Case reports: Intraoperative migratory retinal venous thrombus in proliferative diabetic retinopathy.DOCX
Published on (4 days ago)
PurposeThis study aimed to study the characteristics, possible causes, and clinical implications of intraoperative migratory retinal venous thrombus in proliferative diabetic retinopathy (PDR).CasesTwo middle-aged Chinese patients with diabetes mellitus presented with blurred vision and were diagnosed with PDR and tractional retinal detachment (TRD). An interesting phenomenon was observed during pars plana vitrectomy in both patients. Movement of tiny white thrombi and interruption of blood flow
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Data Sheet 1_The role of peripapillary vessel density and retinal nerve fiber layer thickness in diagnosing and monitoring myopic glaucoma.docx
Published on (4 days ago)
ObjectiveTo investigate changes in peripapillary vessel density (pVD) and retinal nerve fiber layer thickness (pRNFL) in highly myopic glaucoma patients compared to non-highly myopic glaucoma patients and healthy controls, and to evaluate their diagnostic capabilities using optical coherence tomography angiography (OCTA), and to explore the relationship between these biomarkers and visual function.MethodsA total of 382 eyes were recruited, including 101 highly myopic glaucoma eyes, 101 highly my
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OCT/OCTA measurements of the subject eyes (patients) with normal-tension glaucoma in the non-dipper, dipper, and over-dipper groups.
Published on (4 days ago)
OCT/OCTA measurements of the subject eyes (patients) with normal-tension glaucoma in the non-dipper, dipper, and over-dipper groups.
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Data_Sheet_1_Adult-onset neuronal intranuclear inclusion disease related retinal degeneration: a Chinese case series.DOCX
Published on (4 days ago)
PurposeTo evaluate adult-onset neuronal intranuclear inclusion disease (NIID)-related retinopathy with guanine-guanine-cytosine repeat expansions in NOTCH2NLC.Materials and methodsNeuro-ophthalmic evaluations, including best-corrected visual acuity, slit-lamp biomicroscopy, intraocular pressure (IOP), ultrasound biomicroscopy, pupillometry, fundus photography, fundus autofluorescence (FAF), optical coherence tomography (OCT), Humphrey visual field, full-field electroretinography (ERG), and multi
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Table_3_Effect of idiopathic epiretinal membrane on macular ganglion cell complex measurement in eyes with glaucoma.docx
Published on (4 days ago)
Background/objectivesCo-existing idiopathic epiretinal membrane (ERM) and glaucoma complicate the estimation of glaucoma severity via optical coherence tomography (OCT). We investigated the effect of ERM and a new associated parameter, SUKIMA (space between the ERM and retinal surface), on ganglion cell complex (GCC) thickness in eyes with glaucoma, based on a matched comparison of visual field defects.Subjects/methodsWe retrospectively recruited 41 eyes from 34 glaucoma patients with idiopathic
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GRAPE dataset: draw.py
Published on (4 days ago)
Running the codes in the “draw.py” can draw the segmentation annotations on ROI of CFPs, and the results will be output in the folder “Annotated Images”.
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GRAPE dataset: CFPs
Published on (4 days ago)
The folder “CFPs” contains 631 original CFPs from non-mydriatic digital camera, with personal information hidden. These images are named as “subject number_laterality_visit number. jpg”, corresponding to the records in Excel file.
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GRAPE dataset: Anotated Images
Published on (4 days ago)
There are 631 ROI images with OD/OC segmentation in the subfolder “Annotated Images”. The green contour is for OD and red for OC, respectively. And the naming is consistent with the original image and ROI, as well.
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GRAPE dataset: json files
Published on (4 days ago)
The “json” file contains 631 original annotation files in JSON format, that record the XY coordinates. The naming method is consistent with the images, in the format “subject number_laterality_visit number. json”. The JSON file can be opened using Notebook and some label tool software.
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GRAPE dataset: ROI images
Published on (4 days ago)
The “ROI images” file contains 631 ROI of CFPs cropped from the original images, and the naming of them is consistent with that of original images.
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Quantitative AS-OCT bleb analysis.
Published on (4 days ago)
PurposeTo investigate the possible risk factors for treatment failure in patients who had undergone Preserflo Microshunt (PMS) implantation, using anterior-segment optical coherence tomography (AS-OCT) to analyze the internal structures of the bleb.MethodsThe PMS blebs of 54 patients were evaluated with AS-OCT. A mathematical model was used to calculate the total filtering surface of the episcleral fluid cavity (EFC) and the hydraulic conductivity (HC) of the bleb wall. Complete and qualified su
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Table_2_Effect of idiopathic epiretinal membrane on macular ganglion cell complex measurement in eyes with glaucoma.docx
Published on (4 days ago)
Background/objectivesCo-existing idiopathic epiretinal membrane (ERM) and glaucoma complicate the estimation of glaucoma severity via optical coherence tomography (OCT). We investigated the effect of ERM and a new associated parameter, SUKIMA (space between the ERM and retinal surface), on ganglion cell complex (GCC) thickness in eyes with glaucoma, based on a matched comparison of visual field defects.Subjects/methodsWe retrospectively recruited 41 eyes from 34 glaucoma patients with idiopathic
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Retinal photoplethysmography study dataset
Published on (4 days ago)
The dataset is related to PLOS ONE article: "Odstrcilik, J., et al. Comparative analysis of retinal photoplethysmographic spatial maps and thickness of retinal nerve fiber layer." Each file is stored in Matlab memory format (*.MAT), which can be loaded either directly via MATLAB computing software or alternatively in Python programming software. File description: PAA_original_maps_plosone.mat - image matrices (format: double), each for a single subject involved in the study Blood_vessels_BW
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Table_2_Deep learning and optical coherence tomography in glaucoma: Bridging the diagnostic gap on structural imaging.docx
Published on (4 days ago)
Glaucoma is a leading cause of progressive blindness and visual impairment worldwide. Microstructural evidence of glaucomatous damage to the optic nerve head and associated tissues can be visualized using optical coherence tomography (OCT). In recent years, development of novel deep learning (DL) algorithms has led to innovative advances and improvements in automated detection of glaucomatous damage and progression on OCT imaging. DL algorithms have also been trained utilizing OCT data to improv
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Anatomical and visual outcomes of ranibizumab injections in retinal pigment epithelium tears
Published on (4 days ago)
ABSTRACT Purpose: To report the anatomical and visual results in patients diagnosed as having retinal pigment epithelium (RPE) tears after receiving ranibizumab injections. Methods: Eyes diagnosed as having RPE tears with a minimum 6-month follow-up were retrospectively evaluated. Each eye was treated with at least three doses of ranibizumab at monthly intervals. Best-corrected visual acuity (BCVA), anterior segment findings, intraocular pressure, and fundus examination results were evaluated du
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Comparison between optical coherence tomography angiography and immunolabeling for evaluation of laser-induced choroidal neovascularization
Published on (4 days ago)
This study aimed to investigate the differences between images obtained by optical coherence tomography angiography (OCTA) with those from immunohistochemical labeling of laser-induced choroidal neovascularization (CNV) in a mouse model. CNV was induced by laser photocoagulation (GYC-2000, NIDEK; wavelength 532 nm) in the left eyes of 10 female C57BL/6J mice aged 6 weeks. The laser parameters included a 100-μm spot, 100-ms pulse duration and 200-mW incident power to rupture Bruch’s membrane. OCT
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Spectral-Domain Optical Coherence Tomography of the Rodent Eye: Highlighting Layers of the Outer Retina Using Signal Averaging and Comparison with Histology
Published on (4 days ago)
Spectral-Domain Optical Coherence Tomography (SD-OCT) is a widely used method to observe retinal layers and follow pathological events in human. Recently, this technique has been adapted for animal imaging. This non-invasive technology brings a cross-sectional visualization of the retina, which permits to observe precisely each layer. There is a clear expansion of the use of this imaging modality in rodents, thus, a precise characterization of the different outer retinal layers observed by SD-OC
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Results of network meta-analyses of efficacy outcomes (A and B) for all anti-VEGF drugs relative to each other under the SRD pattern.
Published on (4 days ago)
Abbreviations: Afl, Aflibercept; BCVA, best-corrected visual acuity; Be, Bevacizumab; CIs, confidence intervals; CMT, central macular thickness; Con, Conbercept; OCT, optical coherence tomography; Ran, Ranibizumab; Sha, sham; SRD, serous retinal detachment.
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Table_3_Deep learning and optical coherence tomography in glaucoma: Bridging the diagnostic gap on structural imaging.docx
Published on (4 days ago)
Glaucoma is a leading cause of progressive blindness and visual impairment worldwide. Microstructural evidence of glaucomatous damage to the optic nerve head and associated tissues can be visualized using optical coherence tomography (OCT). In recent years, development of novel deep learning (DL) algorithms has led to innovative advances and improvements in automated detection of glaucomatous damage and progression on OCT imaging. DL algorithms have also been trained utilizing OCT data to improv
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DataSheet_1_Deep learning and optical coherence tomography in glaucoma: Bridging the diagnostic gap on structural imaging.xlsx
Published on (4 days ago)
Glaucoma is a leading cause of progressive blindness and visual impairment worldwide. Microstructural evidence of glaucomatous damage to the optic nerve head and associated tissues can be visualized using optical coherence tomography (OCT). In recent years, development of novel deep learning (DL) algorithms has led to innovative advances and improvements in automated detection of glaucomatous damage and progression on OCT imaging. DL algorithms have also been trained utilizing OCT data to improv
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Table_1_Deep learning and optical coherence tomography in glaucoma: Bridging the diagnostic gap on structural imaging.docx
Published on (4 days ago)
Glaucoma is a leading cause of progressive blindness and visual impairment worldwide. Microstructural evidence of glaucomatous damage to the optic nerve head and associated tissues can be visualized using optical coherence tomography (OCT). In recent years, development of novel deep learning (DL) algorithms has led to innovative advances and improvements in automated detection of glaucomatous damage and progression on OCT imaging. DL algorithms have also been trained utilizing OCT data to improv
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Data_Sheet_1_Valve-Like Outflow System Behavior With Motion Slowing in Glaucoma Eyes: Findings Using a Minimally Invasive Glaucoma Surgery–MIGS-Like Platform and Optical Coherence Tomography Imaging.d
Published on (4 days ago)
PurposeThis study aimed to investigate anatomic relationships and biomechanics of pressure-dependent trabecular meshwork and distal valve-like structure deformation in normal and glaucoma eyes using high-resolution optical coherence tomography (HR-OCT).MethodsWe controlled Schlemm’s canal (SC) pressure during imaging with HR-OCT in segments of three normal (NL) and five glaucomatous (GL) ex vivo eyes. The dissected limbal wedges were studied from 15 locations (5 NL and 10 GL). A minimally invasi
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Data_Sheet_1_Diagnostic Performance of Deep Learning Classifiers in Measuring Peripheral Anterior Synechia Based on Swept Source Optical Coherence Tomography Images.PDF
Published on (4 days ago)
PurposeTo develop deep learning classifiers and evaluate their diagnostic performance in detecting the static gonioscopic angle closure and peripheral anterior synechia (PAS) based on swept source optical coherence tomography (SS-OCT) images.Materials and MethodsSubjects were recruited from the Glaucoma Service at Zhongshan Ophthalmic Center of Sun Yat-sun University, Guangzhou, China. Each subject underwent a complete ocular examination, such as gonioscopy and SS-OCT imaging. Two deep learning
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Data_Sheet_2_Diagnostic Performance of Deep Learning Classifiers in Measuring Peripheral Anterior Synechia Based on Swept Source Optical Coherence Tomography Images.PDF
Published on (4 days ago)
PurposeTo develop deep learning classifiers and evaluate their diagnostic performance in detecting the static gonioscopic angle closure and peripheral anterior synechia (PAS) based on swept source optical coherence tomography (SS-OCT) images.Materials and MethodsSubjects were recruited from the Glaucoma Service at Zhongshan Ophthalmic Center of Sun Yat-sun University, Guangzhou, China. Each subject underwent a complete ocular examination, such as gonioscopy and SS-OCT imaging. Two deep learning
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Table_1_Diagnostic Performance of Deep Learning Classifiers in Measuring Peripheral Anterior Synechia Based on Swept Source Optical Coherence Tomography Images.XLSX
Published on (4 days ago)
PurposeTo develop deep learning classifiers and evaluate their diagnostic performance in detecting the static gonioscopic angle closure and peripheral anterior synechia (PAS) based on swept source optical coherence tomography (SS-OCT) images.Materials and MethodsSubjects were recruited from the Glaucoma Service at Zhongshan Ophthalmic Center of Sun Yat-sun University, Guangzhou, China. Each subject underwent a complete ocular examination, such as gonioscopy and SS-OCT imaging. Two deep learning
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Data_Sheet_1_Optical Coherence Tomography Evaluation of Peripapillary and Macular Structure Changes in Pre-perimetric Glaucoma, Early Perimetric Glaucoma, and Ocular Hypertension: A Systematic Review
Published on (4 days ago)
Background: This study aimed to assess the differences in the average and sectoral peripapillary retinal nerve fiber layer (pRNFL), macular ganglion cell plus inner plexiform layer (mGCIPL), and macular ganglion cell complex (mGCC) thickness using optical coherence tomography (OCT) in patients with pre-perimetric glaucoma (PPG) compared to those with early perimetric glaucoma (EG) and ocular hypertension (OHT).Methods: A comprehensive literature search of the PubMed database, the Cochrane Librar
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Mean values of the performance characteristics across different dl approaches based on slo images using task-specific architecture.
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Mean values of the performance characteristics across different dl approaches based on slo images using task-specific architecture.
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Mean values and standard deviations of balanced accuracy across different dl approaches based on slo images using task-specific architecture.
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The number below the balanced accuracy metric, if any, indicates which model number obtained better and statistically significantly different results (Wilcoxon test, α = 0.05).
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Mean values and standard deviations of balanced accuracy across different dl approaches based on slo images using modified inception v3 architecture.
Published on (4 days ago)
The number below the balanced accuracy metric, if any, indicates which model number obtained better and statistically significantly different results (Wilcoxon test, α = 0.05).
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Mean values and standard deviations of balanced accuracy across the five considered techniques: Classifier based on whole image as a vector, classifier based on glcm parameters, classifier based on av
Published on (4 days ago)
The number below the balanced accuracy metric, if any, indicates which model number obtained better and statistically significantly different results (Wilcoxon test, α = 0.05).
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Mean values and standard deviations of balanced accuracy across the five considered machine learning algorithms based on rnfl thickness.
Published on (4 days ago)
The number below the balanced accuracy metric, if any, indicates which model number obtained better and statistically significantly different results (Wilcoxon test, α = 0.05).
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Table_1_Association between inflammatory cytokines in the aqueous humor and hyperreflective foci on optical coherence tomography in patients with neovascular age-related macular degeneration and polyp
Published on (4 days ago)
PurposeTo investigate the associations between cytokine levels in the aqueous humor (AH) and hyperreflective foci (HF) on spectral-domain optical coherence tomography (SD-OCT) in neovascular age-related macular degeneration (nAMD) and polypoidal choroidal vasculopathy (PCV).MethodsThe prospective study included 63 eyes with nAMD, 44 with PCV, and 43 with cataracts (Controls). AH samples were obtained before anti-vascular endothelial growth factor (VEGF) therapy or cataract surgery. Cytokines int
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Table_2_Association between inflammatory cytokines in the aqueous humor and hyperreflective foci on optical coherence tomography in patients with neovascular age-related macular degeneration and polyp
Published on (4 days ago)
PurposeTo investigate the associations between cytokine levels in the aqueous humor (AH) and hyperreflective foci (HF) on spectral-domain optical coherence tomography (SD-OCT) in neovascular age-related macular degeneration (nAMD) and polypoidal choroidal vasculopathy (PCV).MethodsThe prospective study included 63 eyes with nAMD, 44 with PCV, and 43 with cataracts (Controls). AH samples were obtained before anti-vascular endothelial growth factor (VEGF) therapy or cataract surgery. Cytokines int
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Data_Sheet_1_Diagnostic Value of Spectral-Domain Optical Coherence Tomography for Polypoidal Choroidal Vasculopathy: A Systematic Review and Meta-Analysis.docx
Published on (4 days ago)
PurposeTo evaluate the diagnostic value of spectral-domain optical coherence tomography (SD-OCT) for polypoidal choroidal vasculopathy (PCV).MethodsA search of electronic databases was conducted from 2010 to 2021 to review the relevant literature on SD-OCT to identify PCV and other lesions causing serious or serosanguinous retinal pigment epithelial detachment (PED), specifically neovascular age-related macular degeneration (nvAMD). The QUADAS-2 scale was used to evaluate the quality of the lite
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Data_Sheet_1_Optical Coherence Tomographic Features and Prognostic Values of Macular Edema in Vogt-Koyanagi-Harada Disease.docx
Published on (4 days ago)
Purpose: To determine optical coherence tomographic (OCT) features of macular edema (ME) and identify potential prognostic values for ME and visual outcomes in Vogt-Koyanagi-Harada disease (VKH).Methods: In the retrospective case series, a total of 1,377 VKH patients who were seen in a tertiary uveitis center between September 2011 and January 2018 were reviewed on their demographics, visual acuity, ocular and extraocular manifestations, modes of treatment, and OCT examinations. Of these patient
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DataSheet_1_Appearance of Tumor Vessels in Patients With Choroidal Osteoma Using Swept-Source Optical Coherence Tomographic Angiography.zip
Published on (4 days ago)
ObjectiveTo report the morphologic characteristics of tumor-related vasculatures and their association with secondary choroidal neovascularization (CNV), subretinal fluid (SRF), choroidal thickness, retinal pigment epithelium (RPE) alterations, subretinal hemorrhage, and tumor decalcification in eyes with choroidal osteoma (CO), using swept-source optical coherence tomographic angiography (SS-OCTA).DesignCross-sectional observational study.ParticipantsWe included 26 patients recruited from Beiji
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Gold Nanorod Enhanced Photoacoustic Microscopy and Optical Coherence Tomography of Choroidal Neovascularization
Published on (4 days ago)
Visualization and evaluation of choroidal neovascularization (CNV) are major challenges to improve treatment outcomes for patients with age-related macular degeneration (AMD). Limitations of current imaging techniques include the limited penetration depth, spatial resolution, and sensitivity and difficulty visualizing CNV from the healthy microvasculature. In this study, a custom-built multimodal photoacoustic microscopy (PAM) and optical coherence tomography (OCT) system was developed to distin
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Enhanced depth imaging optical coherence tomography of choroidal osteoma with secondary neovascular membranes: report of two cases
Published on (4 days ago)
ABSTRACT We report enhanced depth imaging optical coherence tomography (EDI-OCT) features based on clinical and imaging data from two newly diagnosed cases of choroidal osteoma presenting with recent visual loss secondary to choroidal neovascular membranes. The features described in the two cases, compression of the choriocapillaris and disorganization of the medium and large vessel layers, are consistent with those of previous reports. We noticed a sponge-like pattern previously reported, but i
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Comparison with existing work.
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Comparison with existing work.
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Comparison with existing networks.
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Comparison with existing networks.
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Confusion matrix.
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Confusion matrix.
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Performance metrics.
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Performance metrics.
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Performance measure of K fold validation.
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Performance measure of K fold validation.
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Optimized hyperparameters.
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Optimized hyperparameters.
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Parameters of proposed CNN architecture.
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Parameters of proposed CNN architecture.
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Performance analysis of noise removal.
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Performance analysis of noise removal.
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Models’ performance analysis.
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Models’ performance analysis.
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Demographic and structural and angiography optical coherence tomography characteristics by group.
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Demographic and structural and angiography optical coherence tomography characteristics by group.
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Table_1_Total and horizontal distances of the foveal stereotaxic displacement can be prognostic indicators for patients with idiopathic epiretinal membrane.DOCX
Published on (4 days ago)
IntroductionThis study aimed to examine the foveal stereo deviations in the different ectopic inner foveal layer (EIFL) stages of idiopathic epiretinal membrane (iERM) and assess its predictive utility for the baseline and postoperative best-corrected visual acuity (BCVA).MethodsBased on the calculational combination of foveal displacements in the horizontal and vertical axial optical coherence tomography (OCT) images, the foveal stereotaxic displacement was estimated through the total distance
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Table_1_Visual function and disability are associated with microcystic macular edema, macular and peripapillary vessel density in patients with neuromyelitis optica spectrum disorder.docx
Published on (4 days ago)
PurposeTo assess macular and peripapillary vessel density and neurodegeneration in eyes with and without microcystic macular edema (MME) in neuromyelitis optica spectrum disorder (NMOSD) patients while investigating their association with visual impairment and disease disability.MethodsThis is a cross-sectional study. A total of 52 eyes from 29 NMOSD patients were recruited, including 8 eyes with MME from 7 patients. Optical coherence tomography angiography (OCTA) images were analyzed to quantif
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DataSheet1_Predicting OCT images of short-term response to anti-VEGF treatment for retinal vein occlusion using generative adversarial network.DOCX
Published on (4 days ago)
To generate and evaluate post-therapeutic optical coherence tomography (OCT) images based on pre-therapeutic images with generative adversarial network (GAN) to predict the short-term response of patients with retinal vein occlusion (RVO) to anti-vascular endothelial growth factor (anti-VEGF) therapy. Real-world imaging data were retrospectively collected from 1 May 2017, to 1 June 2021. A total of 515 pairs of pre-and post-therapeutic OCT images of patients with RVO were included in the trainin
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Data_Sheet_1_Hyperreflective Foci and Subretinal Fluid Are Potential Imaging Biomarkers to Evaluate Anti-VEGF Effect in Diabetic Macular Edema.docx
Published on (4 days ago)
Purpose: The aim was to investigate the effect and underlying mechanism of anti-vascular endothelial growth factor (anti-VEGF) in diabetic macular edema (DME) by optical coherence tomography angiography (OCTA).Methods: Twenty-five eyes in 18 treatment-naïve patients with DME were included. All eyes were imaged by OCTA at baseline and 1 week after monthly intravitreal aflibercept injection (IAI). Visual acuity was measured as best corrected visual acuity (BCVA). Additional parameters were evaluat
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<p>Summary of linear mixed-effects model results. For each OCTA-derived metric and device (DREAM, Cirrus, Triton), linear mixed-effects models were fitted with segmentation offset (measured in µm) as
Published on (4 days ago)
Summary of linear mixed-effects model results. For each OCTA-derived metric and device (DREAM, Cirrus, Triton), linear mixed-effects models were fitted with segmentation offset (measured in µm) as a continuous predictor. Separate models were created for each device and vascular plexus (Superficial Capillary Plexus [SCP] and Deep Capillary Plexus [DCP]). Table entries include the model intercept, slope (i.e., effect per 1 µm offset), associated p-value, and the predicted change in the metric at +
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Distribution of types of PAMM and p-MLM sign.
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Distribution of types of PAMM and p-MLM sign.
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Baseline demographics and clinical data of patients from the RECOVERY trial included in the current study.
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Baseline demographics and clinical data of patients from the RECOVERY trial included in the current study.
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Individual values of best corrected visual acuity (BCVA), central retinal thickness (CRT), and vessel density for circular regions with different radii used for the correlation analysis presented in F
Published on (4 days ago)
The excel table provides the data used for computing the correlation coefficients between estimated vessel density and BCVA/CRT. Specifically, the file includes header and individual rows for each patient that provide the following columns of information: ID Number: participant serial number; BCVA: baseline BCVA value (ETDRS letters); CRT: baseline CRT value in micrometers; VD@R = Value: vessel density estimated from the circular region with radius R pixels, i.e. from pixels (x,y) such that (x-X
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Relationship between diabetic macular edema and choroidal layer thickness
Published on (4 days ago)
PurposeTo investigate the relationship between diabetic macular edema (DME) and the choroidal layer thickness in diabetic patients.MethodsThis is a retrospective observation study. Three hundred eighteen eyes of 159 diabetes mellitus (DM) patients and age-matched 100 eyes of 79 healthy controls were enrolled. DME was defined as over 300 μm in the central retinal subfield of the Early Treatment Diabetic Retinopathy Study (ETDRS) grid sector. The central choroidal thickness (CCT), as well as inner
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Table 1_Early detection of retinal and choroidal microvascular impairments in diabetic patients with myopia.docx
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PurposeTo evaluate and quantify diabetes-related retinal and choroid perfusion changes in individuals with and without high myopia and explore their associations with diabetes risk factors.MethodsDiabetic patients [n = 133; 43 without diabetic retinopathy in group DM; 48 non-proliferative diabetic retinopathies in group DR; 42 without DR but with high myopia in group HM] underwent ophthalmological and endocrinological examinations. Swept-source optical coherence tomography angiography (SS-OCTA)
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A spectral-domain optical coherence tomographic analysis of <i>Rdh5<sup>-/-</sup></i> mice retina
Published on (4 days ago)
PurposeTo investigate the longitudinal findings of spectral-domain optical coherence tomography (SD-OCT) in relation to the morphologic features in Rdh5 knockout (Rdh5-/-) mice.Materials and methodsThe mouse retina was segmented into four layers; the inner retinal (A), outer plexiform and outer nuclear (B), rod/cone (C), and retinal pigment epithelium (RPE)/choroid (D) layers. The thickness of each retinal layer of Rdh5-/- mice was longitudinally and quantitatively measured at six time points fr
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Multivariate model of final BCVA adjusted by basal BCVA.
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Multivariate model of final BCVA adjusted by basal BCVA.
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Lineal univariate regression.
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Lineal univariate regression.
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Incidence of Irvine Gass Syndrome after Phacoemulsification with Spectral-Domain Optical Coherence Tomography
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Purpose: Incidence of significant and non-significant macular edema found using spectral-domain optical coherence tomography (SD-OCT) following cataract surgery. Methods: Prospective, cohort series conducted at the Croix Rousse University Hospital. Significant macular edema (SME) was defined as the presence of fluid with an increase of 30% or more in central subfield macular thickness compared to baseline on SD-OCT at 6 weeks and non-significant macula edema (NSME) as an increase of less than 30
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Probability of favorable prognosis including bilaterally and anterior chamber cells in UME.
Published on (4 days ago)
Probability of favorable prognosis including bilaterally and anterior chamber cells in UME.
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Mean values of the principal outcome measures: BCVA and CST in 56 eyes with UME at baseline and throughout different time-points of follow-up.
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Mean values of the principal outcome measures: BCVA and CST in 56 eyes with UME at baseline and throughout different time-points of follow-up.
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Dataset used for statistical analysis.
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(SAV)
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Baseline characteristics at the time of UME diagnosis.
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Baseline characteristics at the time of UME diagnosis.
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Linear regression analyses of ocular and systemic factors associated with sub foveal choroidal thickness (SFCT).
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Linear regression analyses of ocular and systemic factors associated with sub foveal choroidal thickness (SFCT).
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Linear regression analyses of ocular and systemic factors associated with choroidal vascularity index (CVI).
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Linear regression analyses of ocular and systemic factors associated with choroidal vascularity index (CVI).
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Coefficients of reproducibility of previous studies in Diabetic Macular Edema using time domain, spectral domain and current study with Swept source Optical Coherence Tomography (OCT) in the ETDRS cen
Published on (4 days ago)
Coefficients of reproducibility of previous studies in Diabetic Macular Edema using time domain, spectral domain and current study with Swept source Optical Coherence Tomography (OCT) in the ETDRS central subfield.
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Reproducibility of retinal and choroidal thickness measurements in patients with Diabetic Macular Edema using swept-source Optical Coherence Tomography.
Published on (4 days ago)
Reproducibility of retinal and choroidal thickness measurements in patients with Diabetic Macular Edema using swept-source Optical Coherence Tomography.
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The variance ratio (F statistic) of intragrader and intergrader differences in retinal and choroidal measurements.
Published on (4 days ago)
The variance ratio (F statistic) of intragrader and intergrader differences in retinal and choroidal measurements.
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Repeatability and reliability of retinal and choroidal thickness measurements in patients with Diabetic Macular Edema using swept-source Optical Coherence Tomography.
Published on (4 days ago)
Repeatability and reliability of retinal and choroidal thickness measurements in patients with Diabetic Macular Edema using swept-source Optical Coherence Tomography.
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Mean retinal and choroidal thickness measurements by observer and measurement.
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Mean retinal and choroidal thickness measurements by observer and measurement.
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Descriptive statistics for SFCT and CVI according to pattern of DME.
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Descriptive statistics for SFCT and CVI according to pattern of DME.
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Descriptive statistics for CVI according to diabetic retinopathy grades.
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Descriptive statistics for CVI according to diabetic retinopathy grades.
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Demographic characteristics of subjects in normal and DR with DME groups.
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Demographic characteristics of subjects in normal and DR with DME groups.
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Linear mixed model analysis of the effect of baseline number of HF on baseline values of VA and CRT, and VA and CRT changes.
Published on (4 days ago)
Linear mixed model analysis of the effect of baseline number of HF on baseline values of VA and CRT, and VA and CRT changes.
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Baseline characteristics.
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Baseline characteristics.
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Demographics and baseline characteristics of study eyes.
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Demographics and baseline characteristics of study eyes.
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<p>Segmentation-induced changes benchmarked against published OCTA effect sizes reported for early diabetic retinopathy. For each OCTA metric, the table displays the typical pathological changes obser
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Segmentation-induced changes benchmarked against published OCTA effect sizes reported for early diabetic retinopathy. For each OCTA metric, the table displays the typical pathological changes observed in early diabetic retinopathy (DR) based on meta-analytic evidence [18], along with the segmentation offset (in µm) required to reproduce an equivalent change in each device (DREAM, Cirrus, Triton). This table directly illustrates the clinical importance of segmentation variability by showing how s
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<p>Standardized sensitivity of OCTA-derived metrics to segmentation offset across devices and plexuses. This table summarizes the linear slope, standardized slope, and slope-derived relative change pe
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Standardized sensitivity of OCTA-derived metrics to segmentation offset across devices and plexuses. This table summarizes the linear slope, standardized slope, and slope-derived relative change per 10 µm of six OCTA-derived microvascular parameters: vessel area density (VAD), total vessel length (TVL), vessel length density (VLD), number of vascular nodes, branchpoint density (BD), and foveal avascular zone (FAZ) area. These are analyzed across three commercial OCTA systems (DREAM, Cirrus, Trit
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Clinical aspects of the study subjects.
Published on (4 days ago)
PurposeTo compared the vessel density (VD) around the optic nerve head (ONH) in eyes with cone-rod dystrophy (CORD) and healthy control eyes in a sector-wise manner and to investigate the relationship between VD around the ONH and visual function in CORD eyes.MethodsTwenty-six eyes in 14 CORD patients and 25 eyes in 25 healthy control subjects were examined. Using OCT angiography images, the VDs in the superficial and deep capillary plexus at the macula (sVDm and dVDm) and those around the ONH i
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Demographic data.
Published on (4 days ago)
PurposeTo compared the vessel density (VD) around the optic nerve head (ONH) in eyes with cone-rod dystrophy (CORD) and healthy control eyes in a sector-wise manner and to investigate the relationship between VD around the ONH and visual function in CORD eyes.MethodsTwenty-six eyes in 14 CORD patients and 25 eyes in 25 healthy control subjects were examined. Using OCT angiography images, the VDs in the superficial and deep capillary plexus at the macula (sVDm and dVDm) and those around the ONH i
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S1 Data -
Published on (4 days ago)
PurposeTo compared the vessel density (VD) around the optic nerve head (ONH) in eyes with cone-rod dystrophy (CORD) and healthy control eyes in a sector-wise manner and to investigate the relationship between VD around the ONH and visual function in CORD eyes.MethodsTwenty-six eyes in 14 CORD patients and 25 eyes in 25 healthy control subjects were examined. Using OCT angiography images, the VDs in the superficial and deep capillary plexus at the macula (sVDm and dVDm) and those around the ONH i
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Data_Sheet_1_Normative mice retinal thickness: 16-month longitudinal characterization of wild-type mice and changes in a model of Alzheimer's disease.pdf
Published on (4 days ago)
Animal models of disease are paramount to understand retinal development, the pathophysiology of eye diseases, and to study neurodegeneration using optical coherence tomography (OCT) data. In this study, we present a comprehensive normative database of retinal thickness in C57BL6/129S mice using spectral-domain OCT data. The database covers a longitudinal period of 16 months, from 1 to 16 months of age, and provides valuable insights into retinal development and changes over time. Our findings r
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Demographic and clinical data.
Published on (4 days ago)
Background/aimsTomographic analysis of macular and peripapillary retinal nerve fibers layer (RNFL) thickness in patients with history of congenital (CC) and developmental cataract (DC).MethodsAnalysis of macular and RNFL thickness using a spectral-domain optical coherence tomography was performed. Retinal layers thickness was measured using the internal segmentation software. Measurements of affected (unilateral and bilateral), contralateral eyes and control eyes were compared.ResultsPatients wi
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ONL segmentation.
Published on (4 days ago)
ONL segmentation.
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DataSheet1_Advanced ultrawide-field optical coherence tomography angiography identifies previously undetectable changes in biomechanics-related parameters in nonpathological myopic fundus.PDF
Published on (4 days ago)
Purpose: To detect previously undetectable changes in vessel density and structural thickness, the two biomechanics-related parameters reflecting hemodynamics and tensile strength, respectively, in the peripheral and central fundi of nonpathological myopic eyes with an advanced ultrawide-field optical coherence tomography angiography (OCTA) system.Methods: A cross-sectional observational clinical study was carried out by recruiting 155 eyes from 79 college students aged 18–28 years. The eyes wer
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Laser cutting machine-induced maculopathy and spontaneous recovery
Published on (4 days ago)
ABSTRACT The thermal effects of laser cutting machines could damage the macula. A few studies in the literature have described macular injury induced by industrial laser burns. The aim of this study was to report the clinical, visual, and optical coherence tomography findings in a gold refinery worker with laser-induced maculopathy. A 21-year-old male gold refinery worker had vision loss in his right eye after using a laser cutting machine without wearing laser eye protection gear. At the first
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Changes in the optic nerve head induced by horizontal eye movements
Published on (4 days ago)
PurposeTo investigate the effect of eye movement on the optic nerve head (ONH) using swept-source optical coherence tomography (SS-OCT), and to measure the degree of ONH changes.MethodsWe enrolled 52 healthy subjects, 20 to 40 years of age, and performed a prospective observational study. Both ONH and macula were imaged simultaneously using wide volume scan of the SS-OCT in the primary and different gaze positions. Horizontal eye movements were used to obtain OCT images in abducted and adducted
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OPL segmentation.
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OPL segmentation.
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IPL segmentation.
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IPL segmentation.
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INL segmentation.
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INL segmentation.
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GCL segmentation.
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GCL segmentation.
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RNFL segmentation.
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RNFL segmentation.
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TMV and RT analysis of macular scan sectors.
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TMV and RT analysis of macular scan sectors.
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Peripapillary RNFL measurements.
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Peripapillary RNFL measurements.
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Age distribution of the final cohort.
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Age distribution of the final cohort.
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Summary of participant characteristics.
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Summary of participant characteristics.
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Exclusion criteria.
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Exclusion criteria.
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Anonymized dataset link: https://doi.org/10.48620/68.
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(TXT)
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Coats disease with retinal neovascularization under subfoveal nodule: optical coherence tomography-angiography findings before and after ranibizumab treatment
Published on (4 days ago)
ABSTRACT We conducted retinal neovascularization under subfoveal fibrotic nodule for Coats disease by using optic coherence tomography-angiography before and after ranibizumab treatment. Our patient was an 8-year-old boy who was referred with suspicious left retinal mass. His visual acuity was 20/400 in the left eye and 20/20 in the right eye at the time of admission. Posterior segment evaluation of the left eye revealed telengiectatic vessels at the inferotemporal region of the peripheral retin
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Performance comparison of our proposed model on STARE database with other existing models.
Published on (4 days ago)
Performance comparison of our proposed model on STARE database with other existing models.
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Performance comparison of our proposed model on DRIVE dataset with other existing models.
Published on (4 days ago)
Performance comparison of our proposed model on DRIVE dataset with other existing models.
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Performance comparison of our proposed model on CHASE_DB1 dataset with other existing models.
Published on (4 days ago)
Performance comparison of our proposed model on CHASE_DB1 dataset with other existing models.
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Data_Sheet_2_Normative Data and Minimally Detectable Change for Inner Retinal Layer Thicknesses Using a Semi-automated OCT Image Segmentation Pipeline.ZIP
Published on (4 days ago)
Neurodegenerative and neuroinflammatory diseases regularly cause optic nerve and retinal damage. Evaluating retinal changes using optical coherence tomography (OCT) in diseases like multiple sclerosis has thus become increasingly relevant. However, intraretinal segmentation, a necessary step for interpreting retinal changes in the context of these diseases, is not standardized and often requires manual correction. Here we present a semi-automatic intraretinal layer segmentation pipeline and esta
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Summary of datasets used in the experiments.
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Summary of datasets used in the experiments.
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Comparison of architectural differences with similar state-of-the-art networks.
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Comparison of architectural differences with similar state-of-the-art networks.
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DAVS-Net encoder-decoder I/O feature map sizes.
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Where EDB, EDB-C, EDB-Cat, DDB, DDB-C, DDB-Cat represent encoder dense block, encoder dense block convolution, encoder dense block concatenation, decoder dense block, decoder dense block convolution, decoder dense block concatenation, respectively. The layer with shows that layer includes rectified linear unit (ReLU), and batch normalization (BN) after.
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Table_1_Association Between the Severity of Diabetic Retinopathy and Optical Coherence Tomography Angiography Metrics.xlsx
Published on (4 days ago)
Diabetic retinopathy, the most serious ocular complication of diabetes, imposes a serious economic burden on society. Automatic and objective assessment of vessel changes can effectively manage diabetic retinopathy and prevent blindness. Optical coherence tomography angiography (OCTA) metrics have been confirmed to be used to assess vessel changes. The accuracy and reliability of OCTA metrics are restricted by vessel segmentation methods. In this study, a multi-branch retinal vessel segmentation
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Data_Sheet_1_Retinal Microvasculature and Conjunctival Vessel Alterations in Patients With Systemic Lupus Erythematosus—An Optical Coherence Tomography Angiography Study.XLSX
Published on (4 days ago)
Purpose: To evaluate the conjunctival and fundus retinal vessel density in patients with systemic lupus erythematosus (SLE) with optical coherence tomography angiography (OCTA), and to investigate the relationship between vessel density and clinical indicators.Methods: Twelve patients with SLE (24 eyes) and 12 healthy controls (24 eyes) were recruited. OCTA was used to examine the superficial retina layer (SRL) and deep retina layer (DRL) in the macular retina and conjunctival capillary plexus o
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Data_Sheet_1_Outer Retinal Layer Thickness Changes in White Matter Hyperintensity and Parkinson's Disease.docx
Published on (4 days ago)
Purpose: To investigate the thickness changes of outer retinal layers in subjects with white matter hyperintensities (WMH) and Parkinson's Disease (PD).Methods: 56 eyes from 31 patients with WMH, 11 eyes from 6 PD patients, and 58 eyes from 32 healthy controls (HC) were enrolled in this study. A macular-centered scan was conducted on each participant using a spectral-domain optical coherence tomography (SD-OCT) device. After speckle noise reduction, a state-of-the-art deep learning method (i.e.,
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Retinal nerve fibre layer disc distribution by age group, showing mean, first, fifth and 95th percentile values for each segment.
Published on (4 days ago)
Retinal nerve fibre layer disc distribution by age group, showing mean, first, fifth and 95th percentile values for each segment.
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Difference between DenseNet and proposed DAVS-Net.
Published on (4 days ago)
Difference between DenseNet and proposed DAVS-Net.
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DataSheet_1_Association Between the Severity of Diabetic Retinopathy and Optical Coherence Tomography Angiography Metrics.docx
Published on (4 days ago)
Diabetic retinopathy, the most serious ocular complication of diabetes, imposes a serious economic burden on society. Automatic and objective assessment of vessel changes can effectively manage diabetic retinopathy and prevent blindness. Optical coherence tomography angiography (OCTA) metrics have been confirmed to be used to assess vessel changes. The accuracy and reliability of OCTA metrics are restricted by vessel segmentation methods. In this study, a multi-branch retinal vessel segmentation
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Macular retinal nerve fibre layer thickness distribution by age group, showing mean, first, fifth and 95th percentile values for each segment.
Published on (4 days ago)
Macular retinal nerve fibre layer thickness distribution by age group, showing mean, first, fifth and 95th percentile values for each segment.
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The results of segmentation of the edges of the retinal layers.
Published on (4 days ago)
The results of segmentation of the edges of the retinal layers.
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Table_1_Foveal Therapy in Blue Cone Monochromacy: Predictions of Visual Potential From Artificial Intelligence.DOC
Published on (4 days ago)
Novel therapeutic approaches for treating inherited retinal degenerations (IRDs) prompt a need to understand which patients with impaired vision have the anatomical potential to gain from participation in a clinical trial. We used supervised machine learning to predict foveal function from foveal structure in blue cone monochromacy (BCM), an X-linked congenital cone photoreceptor dysfunction secondary to mutations in the OPN1LW/OPN1MW gene cluster. BCM patients with either disease-associated lar
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Data_Sheet_3_Normative Data and Minimally Detectable Change for Inner Retinal Layer Thicknesses Using a Semi-automated OCT Image Segmentation Pipeline.ZIP
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Neurodegenerative and neuroinflammatory diseases regularly cause optic nerve and retinal damage. Evaluating retinal changes using optical coherence tomography (OCT) in diseases like multiple sclerosis has thus become increasingly relevant. However, intraretinal segmentation, a necessary step for interpreting retinal changes in the context of these diseases, is not standardized and often requires manual correction. Here we present a semi-automatic intraretinal layer segmentation pipeline and esta
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Data_Sheet_1_Normative Data and Minimally Detectable Change for Inner Retinal Layer Thicknesses Using a Semi-automated OCT Image Segmentation Pipeline.pdf
Published on (4 days ago)
Neurodegenerative and neuroinflammatory diseases regularly cause optic nerve and retinal damage. Evaluating retinal changes using optical coherence tomography (OCT) in diseases like multiple sclerosis has thus become increasingly relevant. However, intraretinal segmentation, a necessary step for interpreting retinal changes in the context of these diseases, is not standardized and often requires manual correction. Here we present a semi-automatic intraretinal layer segmentation pipeline and esta
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Summary of correlation (r) and univariate regression analyses results between optic nerve head and macula FPF metrics and other functional and structural clinical measurements for glaucoma group (N =
Published on (4 days ago)
Summary of correlation (r) and univariate regression analyses results between optic nerve head and macula FPF metrics and other functional and structural clinical measurements for glaucoma group (N = 54).
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Summary of optic nerve head and macula flavoprotein fluorescence (FPF) metrics between <i>pseudophakic</i> normal (NG), glaucoma suspect (GS), and open-angle glaucoma (OAG) group.
Published on (4 days ago)
Summary of optic nerve head and macula flavoprotein fluorescence (FPF) metrics between pseudophakic normal (NG), glaucoma suspect (GS), and open-angle glaucoma (OAG) group.
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Summary of optic nerve head and macula flavoprotein fluorescence (FPF) metrics between normal (NG), glaucoma suspect (GS), and open-angle glaucoma (OAG) group.
Published on (4 days ago)
Summary of optic nerve head and macula flavoprotein fluorescence (FPF) metrics between normal (NG), glaucoma suspect (GS), and open-angle glaucoma (OAG) group.
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Baseline demographic information and characteristics for normal (NG), glaucoma suspect (GS), and open-angle glaucoma (OAG) groups.
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All values are percentages or mean ± standard deviation and median.
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Data collection spreadsheet.
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To investigate macula and optic nerve head (ONH) mitochondrial metabolic activity using flavoprotein fluorescence (FPF) in normal, glaucoma suspect (GS), and open-angle glaucoma (OAG) eyes we performed a cross-sectional, observational study of FPF in normal, GS, and OAG eyes. The macula and ONH of each eye was scanned and analyzed with a commercially available FPF measuring device (OcuMet Beacon, OcuSciences Inc., Ann Arbor, MI). One-way analysis of variance was used to compare macula and ONH FP
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Vessel density in early-stage primary open angle glaucoma and pseudoexfoliation glaucoma: a comparative controlled optical coherence tomography angiography study
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ABSTRACT Purpose: This study aimed to compare the vessel density of the optic nerve head and radial peripapillary capillary in the eyes with early-stage primary open angle glaucoma and pseudoexfoliation glaucoma and control eyes. Methods: With visual field mean deviation scores >-6.0 dB, 54 eyes from 37 patients diagnosed with primary open angle glaucoma (n=18) and pseudoexfoliation glaucoma (n=18) and healthy controls (n=18) were enrolled in this cross-sectional observational study. Retrieved
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Retinal microvascular changes in patients with familial mediterranean fever: a study based on optical coherence tomography angiography
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ABSTRACT Purpose: In this study, we aimed to show whether a difference exists between retinal and choroidal microcirculation findings between patients with familial Mediterranean fever and healthy controls. Methods: Thirty-two patients with familial Mediterranean fever and 30 healthy controls were included in the study. All the patients underwent a complete ophthalmologic examination, including best-corrected visual acuity and intraocular pressure measurement. The AngioVue optical coherence to
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Vessel density in early-stage primary open angle glaucoma and pseudoexfoliation glaucoma: a comparative controlled optical coherence tomography angiography study
Published on (4 days ago)
ABSTRACT Purpose: This study aimed to compare the vessel density of the optic nerve head and radial peripapillary capillary in the eyes with early-stage primary open angle glaucoma and pseudoexfoliation glaucoma and control eyes. Methods: With visual field mean deviation scores >-6.0 dB, 54 eyes from 37 patients diagnosed with primary open angle glaucoma (n=18) and pseudoexfoliation glaucoma (n=18) and healthy controls (n=18) were enrolled in this cross-sectional observational study. Retrieved
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Interocular symmetry, intraobserver repeatability, and interobserver reliability of cone density measurements in the 13-lined ground squirrel
Published on (4 days ago)
BackgroundThe 13-lined ground squirrel (13-LGS) possesses a cone-dominant retina that is highly amenable to non-invasive high-resolution retinal imaging. The ability for longitudinal assessment of a cone-dominant photoreceptor mosaic with an adaptive optics scanning light ophthalmoscope (AOSLO) has positioned the 13-LGS to become an accessible model for vision research. Here, we examine the interocular symmetry, repeatability, and reliability of cone density measurements in the 13-LGS.MethodsThi
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Accuracy of computer-assisted vertical cup-to-disk ratio grading for glaucoma screening
Published on (4 days ago)
PurposeGlaucoma screening can be performed by assessing the vertical-cup-to-disk ratio (VCDR) of the optic nerve head from fundus photography, but VCDR grading is inherently subjective. This study investigated whether computer software could improve the accuracy and repeatability of VCDR assessment.MethodsIn this cross-sectional diagnostic accuracy study, 5 ophthalmologists independently assessed the VCDR from a set of 200 optic disk images, with the median grade used as the reference standard f
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Bruch's membrane opening minimum rim width and retinal nerve fiber layer thickness in a Brazilian population of healthy subjects
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ObjectiveTo determine Bruch’s membrane opening (BMO) minimum rim width (MRW) and peripapillary retinal nerve fiber layer thickness (RNFLT) measurements, acquired with optical coherence tomography (OCT) in healthy Brazilian individuals self-reported as African Descent (AD), European Descent (ED) and Mixed Descent (MD).Methods260 healthy individuals (78 AD, 103 ED and 79 MD) were included in this cross-sectional study conducted at the Clinics Hospital of the University of Campinas. We obtained opt
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Optic disc microvasculature dropout in primary open-angle glaucoma measured with optical coherence tomography angiography
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PurposeTo evaluate microvasculature dropout in the optic disc (Mvd-D) using optical coherence tomography angiography (OCTA) and investigate factors associated with Mvd-D in primary open-angle glaucoma (POAG) eyes.MethodsOne hundred twenty-three eyes of 123 POAG patients were included from the Diagnostic Innovations in Glaucoma Study. The 3.0×3.0-mm optic nerve head OCTA scans were acquired using a spectral-domain OCT instrument. Images with whole-signal-mode were evaluated. Eyes were classified
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Comparison of sensitivity values (at 85% specificity) between the parameters of cirrus SD-OCT macular ganglion cell-inner plexiform layer analysis and optic nerve head analysis, and Heidelberg retinal
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Comparison of sensitivity values (at 85% specificity) between the parameters of cirrus SD-OCT macular ganglion cell-inner plexiform layer analysis and optic nerve head analysis, and Heidelberg retinal tomography-3 (HRT-3).
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Comparison of the area under the receiver-operating curves between the parameters of cirrus SD-OCT macular ganglion cell-inner plexiform layer analysis and optic nerve head analysis, and Heidelberg re
Published on (4 days ago)
Comparison of the area under the receiver-operating curves between the parameters of cirrus SD-OCT macular ganglion cell-inner plexiform layer analysis and optic nerve head analysis, and Heidelberg retinal tomography-3 (HRT-3).
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Comparison of demographics and ocular characteristics between non-glaucoma and glaucoma subjects.
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Comparison of demographics and ocular characteristics between non-glaucoma and glaucoma subjects.
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Data Sheet 1_A machine learning model for predicting anatomical response to Anti-VEGF therapy in diabetic macular edema.docx
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PurposeTo develop a machine learning model to predict anatomical response to anti-VEGF therapy in patients with diabetic macular edema (DME).MethodsThis retrospective study included patients with DME who underwent intravitreal anti-VEGF treatment between January 2023 and February 2025. Baseline data included optical coherence tomography (OCT) features and blood-based metabolic and hematologic markers. The primary outcome was defined as a ≥20% reduction in central retinal thickness (CRT) post-tre
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Probabilistic volumetric speckle suppression in OCT using deep learning: Dataset
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This file contains a retinal OCT intensity volume as a demo dataset to generate volumetric speckle-suppressed training data using our non-local-means despeckling (TNode) script and four OCT intensity volumes and their corresponding TNode-processed intensity volumes of different tissue samples to train and test our deep learning framework used in "Probabilistic volumetric speckle suppression in OCT using deep learning" by Chintada et al. 2023. The TNode code for generating the training data and t
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DeepEye: A Deep learning approach for Detection of Automated Retinal Eye Disease Diagnosis
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OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods
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Optical coherence tomography (OCT) is a non-invasive imaging technique that has extensive clinical applications in ophthalmology. OCT enables the visualization of the retinal layers, playing a vital role in the early detection and monitoring of retinal diseases. OCT uses the principle of light wave interference to create detailed images of the retinal microstructures, making it a valuable tool for diagnosing ocular conditions. Optical Coherence Tomography Dataset for Image-Based Deep Learning Me
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Evaluation benchmark for natural robustness evaluation of retinal vessel segmentation models
Published on (4 days ago)
A dataset contains benchmark images for natural robustness evaluation of deep learning models for retinal vessel segmentation. The dataset consists of three mainstream retinal vessel segmentation datasets: DRIVE, STARE, and CHASE_DB1. For each dataset are provided: images - directory containing fundus images augmented using AugOOD tool for fast image augmentation for OOD robustness evaluation. labels - directory with labels that correspond to the images. masks - directory with
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ROSE: Retinal OCT-Angiography segmentation dataset
Published on (4 days ago)
Retinal OCT-Angiography Vessel Segmentation Dataset (ROSE) is now open source. It includes two subsets: ROSE-1 and ROSE-2 . ROSE-1 subset consists of a total of 117 OCTA images from 39 subjects (26 with disease and the rest are healthy control) and was split into 90 images for training and 27 images for testing. Each subject has en face angiograms of superficial (SVC), deep (DVC), and the inner retinal vascular plexus that includes both SVC and DVC (SVC+DVC) respectively. All the
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Nonlinear spatial integration allows the retina to detect the sign of defocus in natural scenes
Published on (4 days ago)
The dataset comprises three types of data. First, multi-electrode array recordings of mouse retinal ganglion cells performed by Awen Louboutin and Tom Quetu. Second, point spread functions from mouse and human optical eye models, and associated convolved natural images. Third, results from a convolutional neural network model trainings.
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Segmentation Dataset for Periorbital Segmentation and Distance Prediction
Published on (4 days ago)
High quality segmentation of the eyes and lids is an essential step in developing clinically relevant deep learning models for oculoplastic and craniofacial surgery. However, there are currently no publicly available datasets suitable for this purpose. As such, we have developed and validated a novel dataset for oculoplastic segmentation and periorbital distance prediction. Using images from two open-source datasets, we segmented the iris, sclera, lid, caruncle, and brow from cropped eye images.
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IMA++: ISIC Archive Multi-Annotator Dermoscopic Skin Lesion Segmentation Dataset
Published on (4 days ago)
Overview The IMA++ dataset is the largest publicly available multi-annotator skin lesion segmentation (SLS) dataset, collected from the ISIC Archive to facilitate skin lesion image segmentation research. It contains 17,684 segmentation masks spanning 14,967 dermoscopic images , where 2,394 dermoscopic images have 2-5 segmentations per image from the ISIC Archive, annotated by 16 distinct annotators , with at least one annotation per image. The dataset captures a wide range of segmentat
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OCT Dataset for Segmentation of Atherosclerotic Plaque Morphological Features
Published on (4 days ago)
Objectives: The primary goal of this dataset is to enable the automated segmentation and quantification of atherosclerotic plaque features in OCT images. Cardiovascular disease, with atherosclerosis at its core, remains a global health challenge. Accurate identification of vulnerable plaques is crucial for preventing acute cardiovascular events such as myocardial infarction and stroke. OCT imaging provides high-resolution insights into plaque morphology but is often constrained by manual interp
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OCTAVE Dataset: Optical Coherence Tomography Annotated Volume Experiment
Published on (4 days ago)
This is a large dataset of OCT 3D image volumes and pixel-level segmentation labels for the development of an deep learning model to autonomously detect and identify anatomic and pathological features of the retina. This project was described in the paper: “Identifying Retinal Features Using a Self‑Configuring CNN for Clinical Intervention” Daniel S. Kermany, Wesley Poon, Anaya Bawiskar, Natasha Nehra, Orhun Davarci, Glori Das, Matthew Vasquez, Shlomit Schaal, Raksha Raghunathan & Stephen
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Dataset: FAIR AMD OCT Datasets Paper
Published on (4 days ago)
This is the dataset associated with the paper titled "Publicly Available Imaging Datasets for Age-related Macular Degeneration: Evaluation according to the Findable, Accessible, Interoperable, Reproducible (FAIR) Principles". Age-related macular degeneration (AMD), a leading cause of vision loss among older adults, affects more than 200 million people worldwide. In this paper, We evaluated openly available AMD-related datasets containing optical coherence tomography (OCT) data against the FAIR p
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OCT images of sodium iodate induced retinal degeneration and corresponding ML models for image segmentation
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OCTA-Mosaicking Dataset
Published on (4 days ago)
This repository includes the following archives: OCTA-MosaickingDataset.zip Mosaicking_Results.zip The file " OCTA-MosaickingDataset.zip " includes a dataset with 19 sets of superficial capillary plexus OCTA images captured from 10 patients (right and left eyes, except for patient #6, which only includes left eye images). Each set consists of three to five overlapping images covering the area from the optic disc to the retinal temporal region, including the macular area. From these set
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Curated Multi-Institutional Benchmark Dataset for Validating AI Models for Volumetric Pancreas Segmentation on Contrast-Enhanced CTs
Published on (4 days ago)
To rigorously evaluate the robustness and generalizability of an indigenously developed AI model [1] for morphologically normal volumetric pancreas segmentation on portal venous phase CT images, we curated a high-quality external dataset derived from the international multi-institutional AbdomenCT-1K collection [2]. This public dataset comprises 1,062 abdominal CT scans sourced from 12 medical centers and includes five diverse benchmarking subsets: Liver Tumor Segmentation (LiTS), Kidney Tumor S
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Curated Multi-Institutional Benchmark Dataset for Validating AI Models for Volumetric Pancreas Segmentation on Contrast-Enhanced CTs-Set2
Published on (4 days ago)
To rigorously evaluate the robustness and generalizability of an indigenously developed AI model [1] for morphologically normal volumetric pancreas segmentation on portal venous phase CT images, we curated a high-quality external dataset derived from the international multi-institutional AbdomenCT-1K collection [2]. This public dataset comprises 1,062 abdominal CT scans sourced from 12 medical centers and includes five diverse benchmarking subsets: Liver Tumor Segmentation (LiTS), Kidney Tumor S
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RAS Dataset
Published on (4 days ago)
The current challenge in effectively treating atrial fibrillation (AF) stems from a limited understanding of the intricate structure of the human atria. The objective and quantitative interpretation of the right atrium (RA) in late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) scans relies heavily on its precise segmentation. Leveraging the potential of artificial intelligence (AI) - based approaches for RA segmentation presents a promising solution. However, the successful implementa
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Involvement of Microglia in RGC Injury Induced by IOP Elevation in a Rat Ex Vivo Model
Published on (4 days ago)
This dataset supports the findings of the manuscript titled: "Involvement of microglia in retinal ganglion cell injury induced by IOP elevation in a rat ex vivo acute glaucoma model." In this study, we used a rat ex vivo model of acute intraocular pressure (IOP) elevation to investigate the role of microglia in retinal ganglion cell (RGC) injury. Our results demonstrate that pressure-induced activation of the TLR4-NLRP3 inflammasome cascade contributes to microglial proliferation and IL-1β p
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HRF-Seg+: A Multi-Structure Annotated Fundus Image Dataset with Optic Disc, Cup, Vessels, Alpha and Beta Zones
Published on (4 days ago)
HRF-Seg+ is an extended version of the public HRF (High-Resolution Fundus) dataset that includes pixel-wise annotated segmentation masks for five key retinal structures: - Optic Disc (purple) - Optic Cup (brown) - Retinal Vessels (orange) - Peripapillary Alpha Zone (blue-green) - Peripapillary Beta Zone (green) The dataset includes: - Folder 1: Segmented Optic Disc masks - Folder 2: Segmented Optic Cup masks - Folder 3: Segmented Retinal Vessel masks - Folder 4: Segmented Alpha and Beta Zon
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Dataset: Differential topographic organization and retinal inheritance of direction and orientation selectivity in the visual thalamus
Published on (4 days ago)
Dataset and code to generate the figures of Yaakov* , Heukamp* et al.,2025 (Nature Communications): "Differential topographic organization and retinal inheritance of direction and orientation selectivity in the visual thalamus"
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Minimal dataset for "Cellular-resolution OCT reveals layer-specific retinal mosaics and ganglion cell degeneration in mouse retina in vivo"
Published on (4 days ago)
This dataset provides the minimal data underlying the findings of the manuscript submitted to Neurophotonics: Cellular-resolution OCT reveals layer-specific retinal mosaics and ganglion cell degeneration in mouse retina in vivo. Contents include: - Data_Summary.xlsx: raw numerical values supporting Figures (image quality metrics, speckle contrast, SSIM, cross-correlation, RGC soma counts, GCC thickness). - Figures folder: original figure panels in TIFF format and a supplementary movie (MPE
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SYN-OCT
Published on (4 days ago)
The SYN-OCT dataset consists of 200,000 synthetic cross-sectional circumpapillary OCT images, including 100,000 images generated to represent glaucoma eyes and 100,000 images generated to represent healthy eyes. These synthetic images were produced using generative models trained on real OCT scans collected from participants at the Singapore Eye Research Institute. This resource is designed to support the development and validation of deep learning models for glaucoma detection and analysis. It
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Macular Ganglion Cell Inner Plexiform Layer Thickness in Glaucomatous Eyes with Localized Retinal Nerve Fiber Layer Defects
Published on (4 days ago)
PurposeTo investigate macular ganglion cell–inner plexiform layer (mGCIPL) thickness in glaucomatous eyes with visible localized retinal nerve fiber layer (RNFL) defects on stereophotographs.Methods112 healthy and 149 glaucomatous eyes from the Diagnostic Innovations in Glaucoma Study (DIGS) and the African Descent and Glaucoma Evaluation Study (ADAGES) subjects had standard automated perimetry (SAP), optical coherence tomography (OCT) imaging of the macula and optic nerve head, and stereoscopic
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Indian Diabetic Retinopathy Image Dataset (IDRiD) — Segmentation, Grading & Localization ZIP Files
Published on (4 days ago)
This record contains the original ZIP files of the Indian Diabetic Retinopathy Image Dataset (IDRiD): A. Segmentation.zip – Original images and groundtruth segmentation masks B. Disease Grading.zip – Fundus images with diabetic retinopathy and macular edema grading labels C. Localization.zip – Fundus images with optic disc and fovea center locations The original dataset was created and published by Porwal P. et al., IEEE Dataport. The uploader (Tayebeh Kazeminezhad
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Data for 'Multidimensional Data Analysis and Classification using SMIAL'
Published on (4 days ago)
This deposit contains the raw image files used in 'Multidimensional Data Analysis and Classification using SMIAL'. This includes hyperspectral autofluorescence images of melanoma COLO679 and A375 cells, and fibroblast 142BR. Autofluorescence images of mitochondrial networks in retinal h1RPE7 cells is also stored here.
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The human fovea is relatively horizontally elongated in infantile nystagmus
Published on (4 days ago)
Numerical data associated with the manuscript, MATLAB code to identify the deepest foveal scan from a stack of foveal OCT images, and OCT images of the deepest scans from study participants.
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Flexible corneal neurotechnology reveals in-vivo pathological retinal oscillations in retinitis pigmentosa mouse models and patients as a biomarker of functional remodeling during retinal degeneration
Published on (4 days ago)
This record contains the dataset used in the article:"Litvin, D. et al. Flexible corneal neurotechnology reveals in-vivo pathological retinal oscillations in retinitis pigmentosa mouse models and patients as a biomarker of functional remodeling during retinal degeneration". The Data.zip folder contains input data for PSD analysis, cycle-by-cycle (CBC) analyis and multi-metric (MM) anaylsis. for each analysis, it contains also expected results. The Analysis code is currently available here: h
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Self-supervised retinal thickness prediction enables deep learning from unlabeled data to boost classification of diabetic retinopathy
Published on (4 days ago)
This data repository contains the OCT images and binary annotations for segmentation of retinal tissue using deep learning. To use, please refer to the Github repository https://github.com/theislab/DeepRT . ####### Access to large, annotated samples represents a considerable challenge for training accurate deep-learning models in medical imaging. While current leading-edge transfer learning from pre-trained models can help with cases lacking data, it limits design choices, and ge
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RVD: A Handheld Device-Based Fundus Video Dataset for Retinal Vessel Segmentation
Published on (4 days ago)
We introduce the first video-based retinal vessel dataset (RVD) , a collection of 635 smartphone-based videos with detailed vessel annotation. All captured videos have a frame rate of 25 frames per second, with the duration varying between 2 to 30 seconds. The total number of frames in our dataset is over 130,000. These videos are recorded from four clinics, including patients from 50 to 75 years old. More specifically, 264 males and 151 females are included in the collection process. The an
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2023 IEEE SPS Video and Image Processing (VIP) Cup: Ophthalmic Biomarker Detection Phase 2
Published on (4 days ago)
Ophthalmic clinical trials that study treatment efficacy of eye diseases are performed with a specific purpose and a set of procedures that are predetermined before trial initiation. Hence, they result in a controlled data collection process with gradual changes in the state of a diseased eye. In general, these data include 1D clinical measurements and 3D optical coherence tomography (OCT) imagery. Physicians interpret structural biomarkers for every patient using the 3D OCT images and clinical
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Hillel Yaffe Glaucoma Dataset (HYGD): A Gold-Standard Annotated Fundus Dataset for Glaucoma Detection
Published on (4 days ago)
Glaucomatous optic neuropathy (GON) is a leading cause of irreversible blindness worldwide, affecting an estimated 64.3 million people globally with projections reaching 111.8 million by 2040. Approximately 50% of cases remain undiagnosed until advanced stages when vision loss becomes noticeable. Traditional diagnosis requires comprehensive ophthalmic examinations by specialists, creating accessibility barriers in many regions. The Hillel Yaffe Glaucoma Dataset (HYGD) addresses a critical limit
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Measurement of Absolute Retinal Blood Flow Using a Laser Doppler Velocimeter Combined with Adaptive Optics
Published on (4 days ago)
Data set of measurements related to the following: Purpose: Development and validation of an absolute laser Doppler velocimeter (LDV) based on an adaptive optical fundus camera which provides simultaneously high definition images of the fundus vessels and absolute maximal red blood cells (RBCs) velocity in order to calculate the absolute retinal blood flow. Methods: This new absolute laser Doppler velocimeter is combined with the adaptive optics fundus camera (rtx1, Imagine Eyes©,Orsa
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Data to "Point-wise correlations between 10-2 Humphrey visual field and OCT data in open angle glaucoma"
Published on (4 days ago)
This record contains experimental and analysis scripts (written in Matlab) as well as raw and processed data to reproduce the results shown in: Cirafici, P., Maiello, G., Ancona, C., Masala, A., Traverso, C.E., & Iester M. (in press) Point-wise correlations between Humphrey visual field and OCT data in open angle glaucoma. Eye
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Measurement of Absolute Retinal Blood Flow Using a Laser Doppler Velocimeter Combined with Adaptive Optics
Published on (4 days ago)
Purpose : Development and validation of an absolute laser Doppler velocimeter (LDV) based on an adaptive optical fundus camera which provides simultaneously high definition images of the fundus vessels and absolute maximal red blood cells (RBCs) velocity in order to calculate the absolute retinal blood flow.\newline Methods : This new absolute laser Doppler velocimeter is combined with the adaptive optics fundus camera (rtx1, Imagine Eyes$^\copyright$,Orsay, France) outside its optical wavefro
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High Resolution Fundus Image Database for Monomodal Single-Channel Image Registration of Thin Features
Published on (4 days ago)
A high resolution image database of 42 image pairs (related by elastic deformations) created from original images from the High Resolution Fundus Image Database. Consists of thin linear structures that lack sufficient overlap to pose a challenge for classic similarity measures based on overlapping pixels commonly used in image registration. The dataset contains the intensity grayscale images, as well as binary masks of the retinal area, and labels of the vessels, segmented by expert annota
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Longitudinal changes in the retinal microstructures of eyes with chiasmal compression
Published on (4 days ago)
Objective: To test the hypothesis that there was a temporal change in the retinal microstructure after decompression surgery for chiasmal compression, the 1-year longitudinal changes in the inner and outer retinal thickness after decompression surgery were analyzed using spectral-domain optical coherence tomography (SD-OCT) with linear mixed-effects models. Methods: SD-OCT was obtained from 87 eyes with chiasmal compression and compared to 100 healthy controls. The preoperative and 1-year
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Topological characterization of the Retinal microvascular nEtwork visualized by portable fuNDus camera (TREND) database
Published on (4 days ago)
Introduction T opological characterization of the R etinal microvascular n E twork visualized by portable fu ND us camera ( TREND ) is a database of digital color eye fundus images created by medical professionals of the Faculty of Medicine of the University of Montenegro in 2020. Purpose 1) to provide a standard that defines normal retinal anatomy and microvascular geometry as it appears when visualized by the portable fundus camera 2) to help the development of new method
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Dataset from fundus images for the study of diabetic retinopathy
Published on (4 days ago)
This database containing 1437 color fundus images that were acquired at the Department of Ophthalmology of the Hospital de Clínicas, Facultad de Ciencias Médicas, Universidad Nacional de Asunción, Paraguay. The acquisition of retinal images was done taking into account a clinical procedure. The acquisition of the retinographies was made through the Visucam 500 camera of the Zeiss brand. Expert ophthalmologists have classified the dataset. These data can help doctors and researchers in the det
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Data from: Airway segmentation and centerline extraction from thoracic CT – comparison of a new method to state of the art commercialized methods
Published on (4 days ago)
Introduction: Our motivation is increased bronchoscopic diagnostic yield and optimized preparation, for navigated bronchoscopy. In navigated bronchoscopy, virtual 3D airway visualization is often used to guide a bronchoscopic tool to peripheral lesions, synchronized with the real time video bronchoscopy. Visualization during navigated bronchoscopy, the segmentation time and methods, differs. Time consumption and logistics are two essential aspects that need to be optimized when integrating such
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Optic disc variables impacting on differences in optic disc size measurements between different imaging modalities.
Published on (4 days ago)
Optic disc variables impacting on differences in optic disc size measurements between different imaging modalities.
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A practical approach to functional optical coherence tomography shows abnormal retinal responses in Alzheimer's disease
Published on (4 days ago)
Spectral-domain optical coherence tomography (SD-OCT) is an accessible clinical tool for measuring structural changes to the retina, and increasingly as a biomarker for brain-predominant neurodegenerative diseases like Alzheimer's. Information about retinal function can also be extracted from OCT images, but is under-studied, with literature examples often employing challenging protocols or requiring specialized hardware. The first goal of this study was to verify that functional retinal imaging
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Data from: Analysis of potential ischemic effect of intravitreal bevacizumab on unaffected retina in treatment-naïve macular edema due to branch retinal vein occlusion: a prospective, interventional c
Published on (4 days ago)
Background: To study potential ischemic effects of intravitreal Bevacizumab (IVB) on unaffected retina in treatment-naive eyes with macular edema secondary to branch retinal vein occlusion (BRVO) and contralateral eyes secondary to systemic absorption. Methods and Findings: Prospective, interventional series included 27 treatment-naive eyes with BRVO and macular edema. Exclusion criteria: Eyes with diabetic retinopathy, glaucoma, vasculitides, papilledema or systemic neurologic condition. Subjec
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Data from: Development of machine learning models for diagnosis of glaucoma
Published on (4 days ago)
The study aimed to develop machine learning models that have strong prediction power and interpretability for diagnosis of glaucoma based on retinal nerve fiber layer (RNFL) thickness and visual field (VF). We collected various candidate features from the examination of retinal nerve fiber layer (RNFL) thickness and visual field (VF). We also developed synthesized features from original features. We then selected the best features proper for classification (diagnosis) through feature evaluation.
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Data from: Rat retinal vasomotion assessed by laser speckle imaging
Published on (4 days ago)
Vasomotion is spontaneous or induced rhythmic changes in vascular tone or vessel diameter that lead to rhythmic changes in flow. While the vascular research community debates the physiological and pathophysiological consequence of vasomotion, there is a great need for experimental techniques that can address the role and dynamical properties of vasomotion in vivo. We apply laser speckle imaging to study spontaneous and drug induced vasomotion in retinal network of anesthetized rats. The results
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Comprehensive Automatic Processing and Analysis of Adaptive Optics Flood Illumination Retinal Images
Published on (4 days ago)
A collaborative research group has established this database to support AO-FIO image utilization and evaluation of photoreceptor detection. Please cite the following publication when using the database: Eva Valterova, Jan D. Unterlauft, Mike Francke, Toralf Kirsten, Radim Kolar, and Franziska G. Rauscher, "Comprehensive automatic processing and analysis of adaptive optics flood illumination retinal images on healthy subjects," Biomed. Opt. Express 14 , 945-970 (2023) The database can be
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OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics
Published on (4 days ago)
Clinical diagnosis of the eye is performed over multifarious data modalities including scalar clinical labels, vectorized biomarkers, two-dimensional fundus images, and three-dimensional Optical Coherence Tomography (OCT) scans. While the clinical labels, fundus images and OCT scans are instrumental measurements, the vectorized biomarkers are interpreted attributes from the other measurements. Clinical practitioners use all these data modalities for diagnosing and treating eye diseases like Diab
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OCT porcine kidney dataset for percutaneous nephrostomy guidance
Published on (4 days ago)
Code [ GitHub ] | Publication [ Biomedical Optics Express'21 ] Abstract Percutaneous renal access is the critical initial step in many medical settings. In order to obtain the best surgical outcome with minimum patient morbidity, an improved method for access to the renal calyx is needed. In our study, we built a forward-view optical coherence tomography (OCT) endoscopic system for percutaneous nephrostomy (PCN) guidance. Porcine kidneys were imaged in our experiment to demonstrate the fe
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HaN-Seg: The head and neck organ-at-risk CT & MR segmentation dataset
Published on (4 days ago)
The HaN-Seg: Head and Neck Organ-at-Risk CT & MR Segmentation Dataset is a publicly available dataset of anonymized head and neck (HaN) images of 42 patients that underwent both CT and T1-weighted MR imaging for the purpose of image-guided radiotherapy planning. In addition, the dataset also contains reference segmentations of 30 organs-at-risk (OARs) for CT images in the form of binary segmentation masks, which were obtained by curating manual pixel-wise expert image annotations. A full descri
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Data from: Quantitative analysis of fundus-image sequences reveals phase of spontaneous venous pulsations
Published on (4 days ago)
Purpose: Spontaneous venous pulsation correlates negatively with elevated intracranial pressure and papilledema, and it relates to glaucoma. Yet, its etiology remains unclear. A key element to elucidate its underlying mechanism is the time at which collapse occurs with respect to the heart cycle, but previous reports are contradictory. We assessed this question in healthy subjects using quantitative measurements of both vein diameters and artery lateral displacements; the latter being used as th
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Data from: All-optical recording and stimulation of retinal neurons in vivo in retinal degeneration mice
Published on (4 days ago)
Here we demonstrate the application of a method that could accelerate the development of novel therapies by allowing direct and repeatable visualization of cellular function in the living eye, to study loss of vision in animal models of retinal disease, as well as evaluate the time course of retinal function following therapeutic intervention. We use high-resolution adaptive optics scanning light ophthalmoscopy to image fluorescence from the calcium sensor GCaMP6s. In mice with photoreceptor deg
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Data from: Human retinal pigment epithelium: in vivo cell morphometry, multispectral autofluorescence, and relationship to cone mosaic
Published on (4 days ago)
Purpose: To characterize in vivo morphometry and multispectral autofluorescence of the retinal pigment epithelial (RPE) cell mosaic and its relationship to cone cell topography across the macula. Methods: RPE cell morphometrics were computed in regularly spaced regions of interest (ROIs) from contiguous short-wavelength autofluorescence (SWAF) and photoreceptor reflectance images collected across the macula in one eye of 10 normal participants (23–65 years) by using adaptive optics scanning lig
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Data from: Human foveal cone photoreceptor topography and its dependence on eye length
Published on (4 days ago)
We provide the first measures of foveal cone density as a function of axial length in living eyes and discuss the physical and visual implications of our findings. We used a new generation Adaptive Optics Scanning Laser Ophthalmoscope to image cones at and near the fovea in 28 eyes of 16 subjects. Cone density and other metrics were computed in units of visual angle and linear retinal units. The foveal cone mosaic in longer eyes is expanded at the fovea, but not in proportion to eye length. Desp
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Data from: Insights in the diagnosis of a retinal arteriovenous malformation
Published on (4 days ago)
Objective: To describe a patient with vitreous hemorrhage due to peripheral retinal ischemia and neovascularization, who was diagnosed with an underlying retinal arteriovenous malformation. Methods: A 15-year old girl presented with sudden-onset painless visual loss in the right eye. She underwent a full ophthalmologic work-up. Results: BCVA was less than 20/400 in the right eye, 20/20 in the left eye. Intraocular pressure and anterior segment examination were unremarkable. Fundoscopy
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OCTA image dataset with pixel-level mask annotation for FAZ segmentation
Published on (4 days ago)
This dataset is publish by the research " A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image " Detail: This dataset is the pixel-level mask annotation for FAZ segmentation. 1,101 3 × 3 mm 2 sOCTA images chosen from gradable and best OCTA images randomly in subset sOCTA-3x3-10k, and 1,143 6 × 6 mm 2 dOCTA images were annotated by an experienced ophthalmologist. GitHub: https://github.
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OCTA image dataset with label annotation for quality assessment
Published on (4 days ago)
This dataset is publish by the research " A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image " Detail: OCTA image dataset with label annotation for quality assessment. sOCTA-3x3-10k: 10,480 3 × 3 mm 2 superficial vascular layer OCTA (sOCTA) images divided into three classes; sOCTA-6x6-14k: 14,042 6 × 6 mm 2 sOCTA images divided into three classes. GitHub: https://github.com/shanzha
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Retinal status analysis method based on feature extraction and quantitative grading in OCT images
Published on (4 days ago)
The raw database includes 200 retinal OCT images judged as normal by ophthalmologists and 100 images with various abnormalities. The software includes the main steps for retinal status analysis. The software was carried out in Matlab.
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Pairwise correlation of optic disc or BMO area measurements respectively from different modalities and impact of optic disc features.
Published on (4 days ago)
Pairwise correlation of optic disc or BMO area measurements respectively from different modalities and impact of optic disc features.
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Computer-aided Veress needle guidance using endoscopic optical coherence tomography and convolutional neural networks
Published on (4 days ago)
During laparoscopic surgery, the Veress needle is commonly used in pneumoperitoneum establishment. Precise placement of the Veress needle is still a challenge for the surgeon. In this study, a computer-aided endoscopic optical coherence tomography (OCT) system was developed to effectively and safely guide Veress needle insertion. This endoscopic system was tested by imaging subcutaneous fat, muscle, abdominal space, and the small intestine from swine samples to simulate the surgical process, inc
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Dataset for RSOS-211108
Published on (4 days ago)
The tomography of participants' right eyes measuring by optical OCT and rotating Scheimpflug imaging (OCULUS Pentacam ). A custom-built MATLAB code for automatic segmentation of corneal OCT images.
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RIGA+ Dataset for Unsupervised Domain Adaptation in Medical Image Segmentation
Published on (4 days ago)
Different from the previous combined multi-domain dataset for unsupervised domain adaptation (UDA) in medical image segmentation, this multi-domain fundus image dataset contains annotations made by the same group of ophthalmologists. Hence the annotator bias among different datasets can be mitigated. Therefore, this dataset can provide a relatively fair benchmark for evaluating UDA methods in fundus image segmentation. This dataset is based on the RIGA[1] dataset and MESSIDOR[2] dataset. We a
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UTHealth - Fundus and Synthetic OCT-A Dataset (UT-FSOCTA)
Published on (4 days ago)
Introduction Vessel segmentation in fundus images is essential in the diagnosis and prognosis of retinal diseases and the identification of image-based biomarkers. However, creating a vessel segmentation map can be a tedious and time consuming process, requiring careful delineation of the vasculature, which is especially hard for microcapillary plexi in fundus images. Optical coherence tomography angiography (OCT-A) is a relatively novel modality visualizing blood flow and microcapillary ple
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Examples of misclassified images of papilledema severity by the Deep Learning System
Published on (4 days ago)
The study's objective is to evaluate the performance of a deep learning system (DLS) in classifying the severity of papilledema associated with increased intracranial pressure, on standard retinal fundus photographs. A DLS was trained to automatically classify papilledema severity in 965 patients (2103 mydriatic fundus photographs), representing a multiethnic cohort of patients with confirmed elevated intracranial pressure. Training was performed on 1052 photographs with mild/moderate papille
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Retinal blood vessel segmentation(ROP)
Published on (4 days ago)
Retinal blood vessel segmentation(Retinopathy of Prematurity). The data are free only for academic purpose. Any published work which has used the data, please cite the article below: Wang J, Ji J, Zhang M, Lin JW, Zhang G, Gong W, Cen LP, Lu Y, Huang X, Huang D, et al. Automated Explainable Multidimensional Deep Learning Platform of Retinal Images for Retinopathy of Prematurity Screening. JAMA Netw Open, 2021;4(5):e218758. doi:10.1001/jamanetworkopen.
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CORN
Published on (4 days ago)
CORN1500 is a new corneal nerve dataset which was particularly designed for tortuosity grading tasks. The newly constructed CORN1500 aims to expand the dataset pool for tortuosity grading. Similar to CORN-3, all 1500 CCM in CORN1500 were acquired using a Heidelberg Retina Tomograph equipped with a Rostock Cornea Module (HRT-III) microscope. Each image has a resolution of 384 × 384 pixels covering a field of view of 400 × 400um2. All images were manually annotated by the same ophthalmologist as b
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Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0
Published on (4 days ago)
Retinal Fundus Multi-disease Image Dataset (RFMiD 2.0) is an auxiliary dataset to our previously published dataset. RFMiD 2.0 is a more challenging dataset to research society to develop the computer-based disease diagnosis system. Diabetic Retinopathy, cataracts, and refractive error in the eye are leading diseases that may lead to permanent vision loss more frequently. Therefore, developing an AI-based model to classify these diseases is useful for ophthalmologists. This dataset consists of 86
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Maximum a posteriori natural scene reconstruction from retinal ganglion cells with deep denoiser priors
Published on (4 days ago)
Dataset for Maximum a posteriori natural scene reconstruction from retinal ganglion cells with deep denoiser priors Authors left anonymous for double-blind review
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NETRA Dataset
Published on (4 days ago)
The NETRA dataset is a comprehensive and detailed resource, specifically curated to facilitate the development and evaluation of automated algorithms for glaucoma diagnosis. This dataset originates from the B.P. Koirala Lions Centre for Ophthalmic Studies (BPKLOCS) Hospital in Nepal, a leading institution in the field of ophthalmology. The dataset consists of 519 high-resolution retinal images (3456 x 2304 pixels). Each of these images has been manually annotated by an experienced ophthalmologis
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Average optic disc area, standard deviation (SD) and 95% confidence interval (CI) for 209 optic discs measured with different modalities.
Published on (4 days ago)
Average optic disc area, standard deviation (SD) and 95% confidence interval (CI) for 209 optic discs measured with different modalities.
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Additional file 1 of Wavelet image scattering based glaucoma detection
Published on (4 days ago)
Additional file 1. Glaucoma Random. This is an excel workbook containing classification results for the glaucoma class in the test set of the randomly partitioned dataset. The workbook contains three worksheets. Each worksheet contains results for individual classification algorithm (i.e. SVM, LR and CNN).
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Automatic Choroid Vascularity Index Calculation in Optical Coherence Tomography Images with Low Contrast Sclerocho-roidal Junction Using Deep Learning
Published on (4 days ago)
This project aims to calculate Choroid Vascularity Index (CVI) in optical coherenece tomography (OCT) images, using loss modified U-Net. The method is detailed in "Automatic Choroid Vascularity Index Calculation in Optical Coherence Tomography Images low contrast sclerochoroidal junction Using Deep Learning". The dataset consists of Enhanced-depth imaging optical coherence tomography images from two patient groups. • First dataset is including Raster OCT B-scans from patients with diabetic re
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Topological characterization of the retinal microvascular network visualized by portable fundus camera- effects of chronic disease (TREND2) database
Published on (4 days ago)
Introduction T opological characterization of the R etinal microvascular n E twork visualized by portable fu ND us camera ( TREND 2 ) is a database of digital color eye fundus images created as an addition to TREND database (https://zenodo.org/badge/DOI/10.5281/zenodo.4521044.svg). TREND 2 databse was created by medical professionals of the Faculty of Medicine of the University of Montenegro in 2023. Purpose 1) to provide a standard that defines normal and abnormal retinal
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Asymmetric retinal direction tuning predicts optokinetic eye movements across stimulus conditions
Published on (4 days ago)
Across species, the optokinetic reflex (OKR) stabilizes vision during self-motion. OKR occurs when ON direction-selective retinal ganglion cells (oDSGCs) detect slow, global image motion on the retina. How oDSGC activity is integrated centrally to generate behavior remains unknown. Here, we discover mechanisms that contribute to motion encoding in vertically-tuned oDSGCs and leverage these findings to empirically define signal transformation between retinal output and vertical OKR behavior. We d
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Photodynamic Ocular Drug Delivery System with Optical Coherence Tomography Oriented Microscale Robots
Published on (4 days ago)
Retinal diseases are the most common reason for irreversible blindness worldwide. Common retinal diseases, such as diabetic retinopathy, macular degeneration, retinal vein occlusion, and non-infectious uveitis, mostly require intravitreal steroid injections in clinical management. Unfortunately, intravitreal steroid injections lead to other important ocular problems, such as elevation of intraocular pressure, intravitreal infections, and the progression of cataracts. Because of these reasons, ta
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Retina OCT glaucoma
Published on (4 days ago)
This data set is part of the public development data for the 2023 Automated Universal Classification Challenge (AUC23). The data set was previously introduced and described by Ishikawa, H. (2018) and concerns the classification of eyes as healthy or glaucomatous from optical coherence tomography (OCT) volumes of the optic nerve head. Data was restructured in compliance with the AUC23 challenge format, and no images or patient information were added. The data set consists of 884 OCT scans.
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A Fundus Image Dataset for Domain Generalization in Joint Segmentation of Optic Disc and Optic Cup
Published on (4 days ago)
We provide a fundus image dataset for domain generalization, which includes 5 different medical centres. This dataset is based on the REFUGE[1] dataset, Drishti-GS[2] dataset, ORIGA[3] dataset, and RIGA[4] dataset. We appreciate their efforts devoted by the authors of [1-4]. Details of this dataset Domain Cases in Each Domain (Training/Test) REFUGE 320/80 Drishti-GS 50/51 ORIGA 500/150 BinRushed (RIGA)
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2023 IEEE SPS Video and Image Processing (VIP) Cup: Ophthalmic Biomarker Detection
Published on (4 days ago)
Ophthalmic clinical trials that study treatment efficacy of eye diseases are performed with a specific purpose and a set of procedures that are predetermined before trial initiation. Hence, they result in a controlled data collection process with gradual changes in the state of a diseased eye. In general, these data include 1D clinical measurements and 3D optical coherence tomography (OCT) imagery. Physicians interpret structural biomarkers for every patient using the 3D OCT images and clinical
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OPTICAL COHERENCE TOMOGRAPHY (OCT) IMAGE DATASET OF RADIATION DERMATITIS
Published on (4 days ago)
Optical Coherence Tomography (OCT) Image dataset of radiation dermatitis Citing the Dataset The dataset is released under a Creative Commons Attribution license, so please cite the dataset if it is used in your work in any form. Published academic papers should use the academic paper citation for our paper. Personal works, such as projects or blog posts, should provide a URL to this Zenodo page, though a reference to our paper would also be appreciated. Academic paper citation Pho
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Hillel Yaffe Glaucoma Dataset (HYGD): A Gold-Standard Annotated Fundus Dataset for Glaucoma Detection
Published on (4 days ago)
Glaucomatous optic neuropathy (GON) is a leading cause of irreversible blindness worldwide, affecting an estimated 64.3 million people globally with projections reaching 111.8 million by 2040. Approximately 50% of cases remain undiagnosed until advanced stages when vision loss becomes noticeable. Traditional diagnosis requires comprehensive ophthalmic examinations by specialists, creating accessibility barriers in many regions. The Hillel Yaffe Glaucoma Dataset (HYGD) addresses a critical limit
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Synthetic Retinal OCT Dataset Generated using Class-Conditioned DDPM
Published on (4 days ago)
This dataset contains synthetic Optical Coherence Tomography (OCT) retinal images generated using class conditioned denoising diffusion probabilistic models (DDPMs). The images represent four diagnostic categories: choroidal neovascularization (CNV), diabetic macular edema (DME), drusen, and normal retina. Synthetic data are generated to address the limited availability of labeled OCT datasets and support the development of AI models for retinal disease classification. The generated images aim t
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Synthetic Retinal OCT Dataset Generated using Class-Conditioned DDPM
Published on (4 days ago)
This dataset contains synthetic Optical Coherence Tomography (OCT) retinal images generated using class conditioned denoising diffusion probabilistic models (DDPMs). The images represent four diagnostic categories: choroidal neovascularization (CNV), diabetic macular edema (DME), drusen, and normal retina. Synthetic data are generated to address the limited availability of labeled OCT datasets and support the development of AI models for retinal disease classification. The generated images aim t
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Tunisian OCT Dataset for Multi-Disease Retinal ClassificationTunisian OCT Dataset for Multi-Disease Retinal Classification
Published on (4 days ago)
The Retinal-OCT-Clinical-Dataset is a collection of clinically acquired retinal OCT (Optical Coherence Tomography) images, designed to serve as a benchmark for deep learning models in retinal disease classification. The dataset includes images from multiple retinal pathologies: AMD (Age-related Macular Degeneration) DME (Diabetic Macular Edema) RRD (Rhegmatogenous Retinal Detachment) Healthy/Normal cases ⚠️ Access: To ensure compliance with ethical guidelines and patient privac
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Descriptive statistics for 209 patients included in the current study.
Published on (4 days ago)
Descriptive statistics for 209 patients included in the current study.
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Relationship between anterior segment and optic nerve head parameters in healthy subjects
Published on (4 days ago)
ABSTRACT Purpose: To determine the relationship between anterior segment and optic nerve head (ONH) parameters. Methods: Two hundred healthy subjects were enrolled in this study. The participants underwent measurement of anterior segment parameters with a Pentacam Scheimpflug system and imaging of the optic disc with confocal scanning laser ophthalmoscopy. Pearson’s correlation coefficient was calculated to assess the associations between ONH and anterior segment parameters. Multivariate regre
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Tunisian OCT Dataset for Multi-Disease Retinal ClassificationTunisian OCT Dataset for Multi-Disease Retinal Classification
Published on (4 days ago)
The Retinal-OCT-Clinical-Dataset is a collection of clinically acquired retinal OCT (Optical Coherence Tomography) images, designed to serve as a benchmark for deep learning models in retinal disease classification. The dataset includes images from multiple retinal pathologies: AMD (Age-related Macular Degeneration) DME (Diabetic Macular Edema) RRD (Rhegmatogenous Retinal Detachment) Healthy/Normal cases ⚠️ Access: To ensure compliance with ethical guidelines and patient privac
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Tunisian OCT Dataset for Multi-Disease Retinal ClassificationTunisian OCT Dataset for Multi-Disease Retinal Classification
Published on (4 days ago)
The Retinal-OCT-Clinical-Dataset is a collection of clinically acquired retinal OCT (Optical Coherence Tomography) images, designed to serve as a benchmark for deep learning models in retinal disease classification. The dataset includes images from multiple retinal pathologies: AMD (Age-related Macular Degeneration) DME (Diabetic Macular Edema) RRD (Rhegmatogenous Retinal Detachment) Healthy/Normal cases ⚠️ Access: To ensure compliance with ethical guidelines and patient privac
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Tunisian OCT Dataset for Multi-Disease Retinal Classification
Published on (4 days ago)
The Retinal-OCT-Clinical-Dataset is a collection of clinically acquired retinal OCT (Optical Coherence Tomography) images, designed to serve as a benchmark for deep learning models in retinal disease classification.The dataset includes images from multiple retinal pathologies:AMD (Age-related Macular Degeneration)DME (Diabetic Macular Edema)RRD (Rhegmatogenous Retinal Detachment)Healthy/Normal casesThis dataset is suitable for:Training and evaluating deep learning models for retinal disease dete
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Tunisian OCT Dataset for Multi-Disease Retinal Classification
Published on (4 days ago)
The Retinal-OCT-Clinical-Dataset is a collection of clinically acquired retinal OCT (Optical Coherence Tomography) images, designed to serve as a benchmark for deep learning models in retinal disease classification.The dataset includes images from multiple retinal pathologies:AMD (Age-related Macular Degeneration)DME (Diabetic Macular Edema)RRD (Rhegmatogenous Retinal Detachment)Healthy/Normal casesThis dataset is suitable for:Training and evaluating deep learning models for retinal disease dete
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Supplementary Material for: Combined Hamartoma of the Retina and Retinal Pigment Epithelium: the contribution of OCT in redefining its development and natural history. A case series.
Published on (4 days ago)
Background: Combined hamartoma of the retina and retinal pigment epithelium (CHRRPE) is a rare, benign retinal tumor typically diagnosed in childhood and traditionally believed to involve the full thickness of the retina and the retinal pigment epithelium from early stages. With the advent of optical coherence tomography (OCT), increasing evidence suggests that the primary origin of these lesions may lie within the inner retinal layers, with progressive outward extension over time. However, repo
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In-vivo effects of intraocular and intracranial pressures on the lamina cribrosa microstructure
Published on (4 days ago)
There is increasing clinical evidence that the eye is not only affected by intraocular pressure (IOP), but also by intracranial pressure (ICP). Both pressures meet at the optic nerve head of the eye, specifically the lamina cribrosa (LC). The LC is a collagenous meshwork through which all retinal ganglion cell axons pass on their way to the brain. Distortion of the LC causes a biological cascade leading to neuropathy and impaired vision in situations such as glaucoma and idiopathic intracranial
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VETO: Vessel topology manual annotation dataset
Published on (4 days ago)
We have labeled the vessel topology on four public-available retinal datasets: INSPIRE [1]VICAVR [2]IOSTAR [3]DRIVE [4]Two experts were asked to manually label the topological information of the retinal vascular structure by using a graph editing software we developed for this task. Expert one and two independently labeled each vessel segment or centerline for all datasets, based on the types of available manual annotations of the vessel structure. Then the consensus between them was released f
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ROSE: Retinal OCT-Angiography segmentation dataset
Published on (4 days ago)
Retinal OCT-Angiography Vessel Segmentation Dataset (ROSE) is now open source. It includes two subsets: ROSE-1 and ROSE-2. ROSE-1 subset consists of a total of 117 OCTA images from 39 subjects (26 with disease and the rest are healthy control) and was split into 90 images for training and 27 images for testing. Each subject has en face angiograms of superficial (SVC), deep (DVC), and the inner retinal vascular plexus that includes both SVC and DVC (SVC+DVC) respectively. All the OCTA scans
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Supplementary Material for: Combined Hamartoma of the Retina and Retinal Pigment Epithelium: the contribution of OCT in redefining its development and natural history. A case series.
Published on (4 days ago)
Background: Combined hamartoma of the retina and retinal pigment epithelium (CHRRPE) is a rare, benign retinal tumor typically diagnosed in childhood and traditionally believed to involve the full thickness of the retina and the retinal pigment epithelium from early stages. With the advent of optical coherence tomography (OCT), increasing evidence suggests that the primary origin of these lesions may lie within the inner retinal layers, with progressive outward extension over time. However, repo
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Tunisian OCT Dataset for Multi-Disease Retinal ClassificationTunisian OCT Dataset for Multi-Disease Retinal Classification
Published on (4 days ago)
The Retinal-OCT-Clinical-Dataset is a collection of clinically acquired retinal OCT (Optical Coherence Tomography) images, designed to serve as a benchmark for deep learning models in retinal disease classification. The dataset includes images from multiple retinal pathologies: AMD (Age-related Macular Degeneration) DME (Diabetic Macular Edema) RRD (Rhegmatogenous Retinal Detachment) Healthy/Normal cases This dataset is suitable for: Training and evaluating deep learning
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Tunisian OCT Dataset for Multi-Disease Retinal Classification
Published on (4 days ago)
The Retinal-OCT-Clinical-Dataset is a collection of clinically acquired retinal OCT (Optical Coherence Tomography) images, designed to serve as a benchmark for deep learning models in retinal disease classification.The dataset includes images from multiple retinal pathologies: AMD (Age-related Macular Degeneration) DME (Diabetic Macular Edema) RRD (Rhegmatogenous Retinal Detachment) Healthy/Normal casesThis dataset is suitable for: Training and evaluating deep learning model
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Tunisian OCT Dataset for Multi-Disease Retinal Classification
Published on (4 days ago)
The Retinal-OCT-Clinical-Dataset is a collection of clinically acquired retinal OCT (Optical Coherence Tomography) images, designed to serve as a benchmark for deep learning models in retinal disease classification.The dataset includes images from multiple retinal pathologies: AMD (Age-related Macular Degeneration) DME (Diabetic Macular Edema) RRD (Rhegmatogenous Retinal Detachment) Healthy/Normal cases⚠️ Access: To ensure compliance with ethical guidelines and patient privac
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Tunisian OCT Dataset for Multi-Disease Retinal Classification
Published on (4 days ago)
The Retinal-OCT-Clinical-Dataset is a collection of clinically acquired retinal OCT (Optical Coherence Tomography) images, designed to serve as a benchmark for deep learning models in retinal disease classification.The dataset includes images from multiple retinal pathologies: AMD (Age-related Macular Degeneration) DME (Diabetic Macular Edema) RRD (Rhegmatogenous Retinal Detachment) Healthy/Normal cases⚠️ Access: To ensure compliance with ethical guidelines and patient privac
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Tunisian OCT Dataset for Multi-Disease Retinal Classification
Published on (4 days ago)
The Retinal-OCT-Clinical-Dataset is a curated collection of clinically acquired retinal Optical Coherence Tomography (OCT) images, developed to support research in automated retinal disease analysis and to serve as a benchmark for deep learning-based classification models. The dataset includes four diagnostic categories:• Age-related Macular Degeneration (AMD)• Diabetic Macular Edema (DME)• Rhegmatogenous Retinal Detachment (RRD)• Normal (healthy) cases All images were collected in a clinical
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Photoreceptor loss does not recruit neutrophils despite strong microglial activation
Published on (4 days ago)
In response to central nervous system (CNS) injury, tissue resident immune cells such as microglia and circulating systemic neutrophils are often first responders. The degree to which these cells interact in response to CNS damage is poorly understood, and even less so, in the neural retina which poses a challenge for high resolution imaging in vivo. In this study, we deploy fluorescence adaptive optics scanning light ophthalmoscopy (AOSLO) to study microglia and neutrophils in mice. We s
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Quantifying the influence of optical coherence tomography beam tilt in the normal adult mouse retina
Published on (4 days ago)
Parallel microstructures within the retina – like retinal nerve fiber layer (RNFL) axons – differentially reflect light depending on its angle. This effect has previously been observed with optical coherence tomography (OCT), but it is under-studied. Quantification of this effect might provide useful information about retinal microstructures, and therefore the broader health of the retina. Our goal was to quantify the influence OCT beam tilt on reflectivity of each layer of the normal adul
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Data from: Quantifying changes on optical coherence tomography in eyes receiving treatment for neovascular age-related macular degeneration
Published on (4 days ago)
Purpose Application of artificial intelligence (AI) to macular optical coherence tomography (OCT) scans to segment and quantify volumetric change of anatomical and pathological features during intravitreal treatment for neovascular age-related macular degeneration (AMD). Design Retrospective analysis of OCT images from the Eye Hospital AMD Database. Participants 2115 eyes from 1883 patients that started anti-vascular endothelial growth factor (anti-VEGF) treatment between 1st June 2012 and
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Restoration of cone circuit functionality in the regenerating adult zebrafish retina
Published on (4 days ago)
Unlike humans, teleosts like zebrafish exhibit robust retinal regeneration after injury from endogenous stem cells. However, it is unclear if regenerating cone-photoreceptors regain physiological function and integrate correctly into post-synaptic circuits. We used two-photon calcium imaging of living adult retina to examine photoreceptor responses before and after light-induced lesion. To assess functional recovery of cones and downstream outer retinal circuits, we exploited colour oppon
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Data from: Is retina affected in Huntington's disease? Is optical coherence tomography a good biomarker?
Published on (4 days ago)
Prospective cross-sectional measurement of peripapillary retinal nerve fiber layer thickness (RNFL) and total macular volume (TMV) measured by spectral domain optical coherence tomography (OCT) of retina, Pelli-Robson Contrast Sensitivity test, Farnsworth 15 Hue Color discrimination test, and Unified Huntington’s disease Rating Scale (UHDRS).
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Accuracy of biomicroscopy, ultrasonography and spectral-domain OCT in detection of complete posterior vitreous detachment
Published on (4 days ago)
Purpose: To evaluate the accuracy of pre-operative biomicroscopy (BM), ultrasonography (US), and spectral domain optical coherence tomography (SD-OCT) for determining complete posterior vitreous detachment (PVD) confirmed by intraoperative findings of triamcinolone acetonide-assisted pars plana vitrectomy (PPV). Design: This was a prospective, consecutive, interventional case series. Methods: The study included all patients admitted for surgical treatment of epiretinal membrane (ERM) and m
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Quantitative analysis of optical coherence tomography for neovascular age-related macular degeneration using deep learning
Published on (4 days ago)
Purpose: To apply a deep learning algorithm for automated, objective, and comprehensive quantification of optical coherence tomography (OCT) scans to a large real-world dataset of eyes with neovascular age-related macular degeneration (AMD), and make the raw segmentation output data openly available for further research. Design: Retrospective analysis of OCT images from the Moorfields Eye Hospital AMD Database. Participants: 2473 first-treated eyes and another 493 second-treated eyes that
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Dataset underlying the study: Combined Diagnostic Accuracy of Two Artificial Intelligence Software for Glaucoma Diagnosis Using Color Fundus Photography
Published on (4 days ago)
This Excel spreadsheet contains the database used to select the patients studied in the manuscript entitled above. It is divided into 4 parts: clinical data (white background); visual field data (yellow background); optical coherence tomography data (peripapillary retinal nerve fiber layer in light green background and macular ganglion cell layer in orange background); Laguna ONhE data (blue background); and Vuno Med-Fundus AI data (dark green background).
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Glaucomatous changes in lamina pores shape within the lamina cribrosa using wide bandwidth, femtosecond mode-locked laser OCT
Published on (4 days ago)
PurposeThe lamina cribrosa (LC) is known to play a critical role in the pathogenesis of glaucoma. Although it has been reported that striae-shaped or slit-shaped lamina pores are more frequent in eyes with primary open angle glaucoma (POAG), this observation is based only on fundus photography. The primary object of this study is to perform layer-by-layer comparisons of the shape of lamina pores within the LC in vivo.DesignCross-sectional study.MethodsOptic nerve head B-scans were obtained using
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Dataset underlying the study: Combined Diagnostic Accuracy of Two Artificial Intelligence Software for Glaucoma Diagnosis Using Color Fundus Photography
Published on (4 days ago)
This Excel spreadsheet contains the database used to select the patients studied in the manuscript entitled above. It is divided into 4 parts: clinical data (white background); visual field data (yellow background); optical coherence tomography data (peripapillary retinal nerve fiber layer in light green background and macular ganglion cell layer in orange background); Laguna ONhE data (blue background); and Vuno Med-Fundus AI data (dark green background).
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Supplementary Material for: Simultaneous Branch Retinal Artery and Central Retinal Vein Occlusions Following Blood Transfusion in a Young Man: A Case Report
Published on (4 days ago)
This report describes a rare case of simultaneous branch retinal artery occlusion (BRAO) and central retinal vein occlusion (CRVO) shortly after blood transfusion in a young man. A 20-year-old man presented with sudden loss of vision unilaterally shortly following a blood transfusion for anemia. A thorough eye checkup, fundus photography, and optical coherence tomography were conducted. The fundoscopic examination showed features suggestive of BRAO and CRVO in the right eye. Imaging revealed inv
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Supplementary Material for: Simultaneous Branch Retinal Artery and Central Retinal Vein Occlusions Following Blood Transfusion in a Young Man: A Case Report
Published on (4 days ago)
This report describes a rare case of simultaneous branch retinal artery occlusion (BRAO) and central retinal vein occlusion (CRVO) shortly after blood transfusion in a young man. A 20-year-old man presented with sudden loss of vision unilaterally shortly following a blood transfusion for anemia. A thorough eye checkup, fundus photography, and optical coherence tomography were conducted. The fundoscopic examination showed features suggestive of BRAO and CRVO in the right eye. Imaging revealed inv
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DRIVE
Published on (4 days ago)
The DRIVE dataset contains the curvilinear-shaped vessel. This dataset consists of 40 565 × 584 color retinal images, which are split into 20 training images and 20 test images.
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Labelled Dataset of Retinal Images for Glaucoma detection
Published on (4 days ago)
Fundus photography is a viable option for glaucoma population screening. In order to facilitate the development of computer-aided glaucoma detection systems, we publish this annotation dataset that contains manual annotations of glaucoma features for seven public fundus image data sets. All manual annotations are made by a specialised ophthalmologist. For each of the fundus images in the seven fundus datasets, the upper, the bottom, the left and the right boundary coordinates of the optic disc a
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Fluorescein Angiography dataset
Published on (4 days ago)
The dataset is used for training and testing the proposed VTGAN model for fundus-to-angiogram synthesis and disease prediction.
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10-year Progression of Diabetic Retinopathy. Identification of Signs and Surrogate outcomes (PROGRESS 10)
Published on (4 days ago)
PROGRESS 10, 10-year Progression of Diabetic Retinopathy: Identification of Signs and Surrogate Outcomes (https://clinicaltrials.gov/study/NCT04650165). It is a continuation of the PROGRESS study in which the included participants are monitored for an additional 5-year period. This Dataset consists of demographic and diagnostic data of the participants selected for analysis in open readable tabular text file format, and of imaging data of Spectral Optical Coherence Tomography (SD-OCT) data and
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Characterization of Retinal Vascular Disease in Eyes With Mild to Moderate NPDR in Diabetes Type 2, using novel non-invasive Imaging methods, in a longitudinal, prospective and interventional Clinical
Published on (4 days ago)
CORDIS, Characterization of Retinal Vascular Disease in Eyes With Mild to Moderate NPDR in Diabetes Type 2 (https://clinicaltrials.gov/study/NCT03696810), is a clinical study that was conducted between 2018 and 2020. The primary objective of the study was to characterize the main alterations of the different diabetic retinopathy phenotypes, leaky and ischemic, and to identify subjects at risk of progression to sight-threatening complications. This Dataset consists of demographic and diagnost
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Data files for: Multimodal in-vivo maps as a tool to characterize retinal structural biomarkers for progression in adult-onset Stargardt disease
Published on (4 days ago)
DATASET MIGRATED FROM FIGSHARE: <p dir="ltr"><b>Article Abstract - Related Publication</b></p><p dir="ltr"><b>Purpose: </b>To characterize retinal structural biomarkers for progression in adult-onset Stargardt 19 disease from multimodal retinal imaging in-vivo maps.</p><p dir="ltr"><b>Methods: </b>Seven adult patients (29–69 years; 3 males) with genetically-confirmed and clinical diagnosed adult-onset Stargardt disease and age-mat
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Data files for: Multimodal in-vivo maps as a tool to characterize retinal structural biomarkers for progression in adult-onset Stargardt disease
Published on (4 days ago)
Article Abstract - Related Publication Purpose: To characterize retinal structural biomarkers for progression in adult-onset Stargardt 19 disease from multimodal retinal imaging in-vivo maps. Methods: Seven adult patients (29–69 years; 3 males) with genetically-confirmed and clinical diagnosed adult-onset Stargardt disease and age-matched healthy controls were imaged with confocal and non-confocal Adaptive Optics Scanning Light Ophthalmoscopy (AOSLO), optical coherence tomogra
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"A High-quality Large-scale Color Fundus Photography Images Dataset with Eleven Types of Annotations"
Published on (4 days ago)
"More and more human beings are suffering from ophthalmic diseases, and automatic analysis of images from Color Fundus Photography (CFP) using deep learning algorithms can improve the accuracy and prevalence of early screening for ophthalmic diseases. However, the performance of deep learning models is highly dependent on the training data, and the currently available retinal image datasets still have limitations such as scarce total data and poor disease diversity. Therefore, we extensively col
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Retinal vessel density from optical coherence tomography angiography to differentiate early glaucoma, pre-perimetric glaucoma and normal eyes
Published on (4 days ago)
PurposeTo evaluate optic nerve vascular density using swept source optical coherence tomography angiography (OCTA) in patients with early primary open angle glaucoma (POAG), pre-perimetric glaucoma and normal eyes.MethodsThis is a prospective, observational study including 56 eyes in total and divided into 3 groups; 20 eyes with mild POAG, 20 pre-perimetric glaucoma eyes, and 16 age-matched normal eyes as controls. The optic disc region was imaged by a 1050-nm-wavelength swept-source OCT system
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Sensitivity and specificity of automated analysis of single-field non-mydriatic fundus photographs by Bosch DR Algorithm—comparison with mydriatic fundus photography (ETDRS) for screening in undiagnos
Published on (4 days ago)
Diabetic retinopathy by Bosch Algorithm data on 560 subjects
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A Deep Learning Approach for Automated Detection of Shallow Anterior Chamber Depth Based on Hidden Features of Fundus Photographs
Published on (4 days ago)
The datasets are not redistributable to researchers other than those engaged in the Institutional Review Board-approved research collaborations with the B&VIIt Eye Center, South Korea. The datasets utilized during this study are not publicly available due to reasonable privacy and security concerns. Instead, a sample anonymized fundus photography data with shallow and deep ACD is available in the publicly accessible source. Note that this was not the exact data used in the research, but is a cle
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A CycleGAN deep learning technique for artifact reduction in fundus photography
Published on (4 days ago)
Herein, we present a deep learning technique to remove artifacts automatically in fundus photograph. By using a CycleGAN model, we synthesize the retinal images with artifact reduction based on low-quality image, and validated this technique in the independent test dataset. This study included total 2,206 anonymized retinal images. We collected the fundus photographs without qualification, which include normal and pathologic retinal images. Images including both photograph with and without artif
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Supplementary Material for: Comparison of multicolor scanning laser imaging and color fundus photography in evaluating vessel whitening in branch retinal vein occlusion
Published on (4 days ago)
Introduction: Few studies have explored Multicolor™ imaging (MCI) in evaluating retinal vascular diseases, particularly branch retinal vein occlusion (BRVO). This study aimed to compare the identification of retinal vessel whitening in BRVO using MCI by scanning confocal laser versus conventional white flash color fundus photography (CFP). Methods: Paired images of consecutive patients diagnosed with BRVO who underwent same-day MCI and CFP were reviewed. Visualization of vessel whitening on MCI
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RAO (retinal artery occlusion) fundus photography dataset
Published on (4 days ago)
This dataset is a dataset collected to train a deep learning model for diagnosing retinal artery occlusion (RAO) through fundus photographs. A RAO diagnosis model should be developed to prevent a fatal disease in which blood vessels in the eye are blocked by emboli, a type of stroke. Based on web-based public data and public fundus datasets RFMiD and JSEIC.
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FOVEA: Preoperative and intraoperative fetinal fundus images with optic disc and retinal vessel annotations
Published on (4 days ago)
The performance and scope of computer vision methods applied to ophthalmic images is highly dependent on the availability of labelled training data. While there are a number of colour fundus photography datasets, FOVEA is to the best of our knowledge the first dataset that matches high-quality annotations in the intraoperative domain with those in the preoperative one. It comprises data from 40 patients collected at Moorfields Eye Hospital (London, UK) and includes preoperative and intraoperativ
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Deep-learning-based Segmentation of Fundus Photographs to Detect Central Serous Chorioretinopathy
Published on (4 days ago)
https://doi.org/10.1167/tvst.11.2.22 Simple Code Implementation for Deep Learning–Based Segmentation to Evaluate Central Serous Chorioretinopathy in Fundus Photography, TVST, 2022 We developed a pix2pix deep learning model for segmentation of subretinal fluid area in fundus photographs to detect central serous chorioretinopathy (CSC). The total dataset included fundus photographs and a segmentation image dataset from 194 eyes with CSC from the medical centers and publicly accessible datasets.
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Machine learning predicting myopic regression after corneal refractive surgery using preoperative data and fundus photography
Published on (4 days ago)
The aim of this study is to develop deep learning models that can identify high-risk patients for refractive regression based on preoperative data and fundus photography. This retrospective study was approved by the Institutional Review Board of Korean National Institute for Bioethics Policy (KoNIBP, 2019-1685-003), which waived the requirement for informed consent because the data was fully de-identified to protect patient confidentiality. The collection of external validation samples in each
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Deep Learning-Based Style Transfer from Ultra-Widefield to Traditional Fundus Photography
Published on (4 days ago)
This study included 451 anonymized UWF and 745 FP images. The ultra-widefield (UWF) images, which include both normal and pathologic retinal images, were based on Tsukazaki Optos Public Project. The traditional fundus photograph (FP) images were extracted from the publicly accessible database by using the Google image and Google dataset search that included English keywords related to retina. The search strategy was based on the following key terms: “fundus photography”, “retinal image”, and “fu
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Data for "Deep learning approach for steep and flat corneal curvature prediction using fundus photography"
Published on (4 days ago)
Corneal curvature is one of the important factors consisting of refractive errors and related to several pathological conditions of the cornea. Fundus photography is the widely used tool to examine the eyes in the current healthcare setting worldwide. The aim of this study is to develop a deep learning model based on fundus photography to predict corneal curvature by categorizing the steep, regular, and flat cornea groups. We analyzed the preoperative measurements of healthy participants withou
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<i>In Vivo</i> Changes in Lamina Cribrosa Microarchitecture and Optic Nerve Head Structure in Early Experimental Glaucoma
Published on (4 days ago)
The lamina cribrosa likely plays an important role in retinal ganglion cell axon injury in glaucoma. We sought to (1) better understand optic nerve head (ONH) structure and anterior lamina cribrosa surface (ALCS) microarchitecture between fellow eyes of living, normal non-human primates and (2) characterize the time-course of in vivo structural changes in the ONH, ALCS microarchitecture, and retinal nerve fiber layer thickness (RNFLT) in non-human primate eyes with early experimental glaucoma (E
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Results of network meta-analyses of efficacy outcomes (A and B) for all anti-VEGF drugs relative to each other under the CME pattern.
Published on (4 days ago)
Abbreviations: Afl, Aflibercept; BCVA, best-corrected visual acuity; Be, Bevacizumab; CIs, confidence intervals; CME, cystoid macular edema; CMT, central macular thickness; Con, Conbercept; OCT, optical coherence tomography; Ran, Ranibizumab; Sha, sham.
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Results of network meta-analyses of efficacy outcomes (A and B) for all anti-VEGF drugs relative to each other under the DRT pattern.
Published on (4 days ago)
Abbreviations: Afl, Aflibercept; BCVA, best-corrected visual acuity; Be, Bevacizumab; CIs, confidence intervals; CMT, central macular thickness; Con, Conbercept; DRT, diffuse retinal thickening; OCT, optical coherence tomography; Ran, Ranibizumab; Sha, sham.
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Results of network meta-analyses of efficacy outcomes (A and B) in diabetes patients with different OCT patterns relative to each other.
Published on (4 days ago)
Abbreviations: BCVA, best-corrected visual acuity; CIs, confidence intervals; CMT, central macular thickness.
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Characters and results of included studies in meta-analysis.
Published on (4 days ago)
Abbreviations: BCVA, best-corrected visual acuity; CME, cystoid macular edema; CMT, central macular thickness; DRT, diffuse retinal thickening; SRD, serous retinal detachment; VEGF, vascular endothelial growth factor.
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In vivo Human Skin Optical Coherence Tomography (OCT) Dataset for Classification Benchmarking and Digital Phantom Generation
Published on (4 days ago)
Overview This dataset contains 120 Optical Coherence Tomography (OCT) B-scans of human skin acquired in vivo from volunteers. The data is structured and labeled by biological sex, age group, and anatomical localization.This collection represents a curated subset of a larger 3D OCT dataset presented in the paper:A. A. Sovetsky, K. S. Petrova, M. A. Brueva, M. G. Ryabkov, A. L. Matveyev, L. A. Matveev, V. Y. Zaitsev. "Automated segmentation and skin-layer thickness estimation by extracting the opt
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In vivo Human Skin Optical Coherence Tomography (OCT) Dataset for Classification Benchmarking and Digital Phantom Generation
Published on (4 days ago)
Overview This dataset contains 120 Optical Coherence Tomography (OCT) B-scans of human skin acquired in vivo from volunteers. The data is structured and labeled by biological sex, age group, and anatomical localization.This collection represents a curated subset of a larger 3D OCT dataset presented in the paper:A. A. Sovetsky, K. S. Petrova, M. A. Brueva, M. G. Ryabkov, A. L. Matveyev, L. A. Matveev, V. Y. Zaitsev. "Automated segmentation and skin-layer thickness estimation by extracting the opt
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PopEYE - Infrared Ocular Image Dataset for Eye State and Gaze-Direction Classification
Published on (4 days ago)
PopEYE is a specialized dataset of 14,976 near-infrared (NIR) ocular images designed to support the development and benchmarking of computer vision algorithms for ophthalmic applications. The dataset focuses on two primary tasks: eye-state detection (open vs. closed) and coarse gaze-direction classification. Context and Motivation In clinical ophthalmic examinations (such as Pupillary Light Reflex measurement or Optical Coherence Tomography), patient cooperation and correct eye positioning are
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PopEYE - Infrared Ocular Image Dataset for Eye State and Gaze-Direction Classification
Published on (4 days ago)
PopEYE is a specialized dataset of 14,976 near-infrared (NIR) ocular images designed to support the development and benchmarking of computer vision algorithms for ophthalmic applications. The dataset focuses on two primary tasks: eye-state detection (open vs. closed) and coarse gaze-direction classification. Context and Motivation In clinical ophthalmic examinations (such as Pupillary Light Reflex measurement or Optical Coherence Tomography), patient cooperation and correct eye positioning are
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Supplementary Material for: Presumed Capsular-Bag–Origin Endophthalmitis Following Anterior Vitrectomy for Posterior Capsule Opacification in a Patient with Proliferative Diabetic Retinopathy: A Case
Published on (4 days ago)
Purpose: To report a rare case of presumed postoperative endophthalmitis after anterior vitrectomy (AVit) for dense posterior capsule opacification (PCO) in a patient with proliferative diabetic retinopathy (PDR). Observations: A 52-year-old woman with long-standing diabetes and prior pan-retinal photocoagulation and pars plana vitrectomy with phacoemulsification and intraocular lens implantation developed visually significant, fibrotic PCO in the right eye. Slit-lamp examination revealed dense,
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Supplementary Material for: Presumed Capsular-Bag–Origin Endophthalmitis Following Anterior Vitrectomy for Posterior Capsule Opacification in a Patient with Proliferative Diabetic Retinopathy: A Case
Published on (4 days ago)
Purpose: To report a rare case of presumed postoperative endophthalmitis after anterior vitrectomy (AVit) for dense posterior capsule opacification (PCO) in a patient with proliferative diabetic retinopathy (PDR). Observations: A 52-year-old woman with long-standing diabetes and prior pan-retinal photocoagulation and pars plana vitrectomy with phacoemulsification and intraocular lens implantation developed visually significant, fibrotic PCO in the right eye. Slit-lamp examination revealed dense,
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Data and code from: Deep learning-based autonomous retinal vein cannulation in ex vivo porcine eyes
Published on (4 days ago)
Retinal Vein Cannulation (RVC) is an emerging method for treating Retinal Vein Occlusion (RVO). The success of this procedure depends on surgeon expertise and, recently, robotic assistance. This paper proposes an autonomous RVC workflow leveraging deep learning and computer vision. Two Steady Hand Eye Robots (SHERs) control a 100-micrometer metal needle and a medical spatula to execute precise tasks. Three convolutional neural networks are trained to predict needle movement direction and i
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Supporting information for: Discrimination ability of central visual field testing using stimulus size I, II, and III and relationship with macular ganglion cell thickness in chiasmal compression
Published on (4 days ago)
Purpose: To compare the relationship between macular ganglion cell layer (mGCL) thickness and 10-2 visual field (VF) sensitivity using different stimulus sizes in patients with temporal hemianopia from chiasmal compression. Methods: A cross-sectional study was conducted involving 30 eyes from 25 patients with temporal VF loss on 24-2 SITA standard automated perimetry due to previous chiasmal compression and 30 healthy eyes (23 controls). Optical coherence tomography (OCT) of the macular ar
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Predicting incremental and future visual change in neovascular age-related macular degeneration using deep learning
Published on (4 days ago)
Purpose To evaluate the predictive utility of quantitative imaging biomarkers, acquired automatically from optical coherence tomography (OCT) scans, of cross-sectional and future visual outcomes of patients with neovascular age-related macular degeneration (AMD) starting anti-vascular endothelial growth factor (VEGF) therapy. Design Retrospective cohort study. Methods Automatic segmentation was carried out by applying a deep learning segmentation algorithm to 137,379 OCT scans from 6467 ey
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Data from: Optical coherence tomography is highly sensitive in detecting prior optic neuritis
Published on (4 days ago)
Objective: To explore sensitivity of optical coherence tomography (OCT) in detecting prior unilateral optic neuritis. Methods: Retrospective, observational clinical study of all patients who presented from 1/1/14 to 6/1/17 with unilateral optic neuritis and OCT available at least three months after the attack. We compared OCT retinal nerve fiber layer (RNFL) and ganglion cell inner plexiform layer (GCIPL) thicknesses between affected and unaffected contralateral eyes. We excluded patients
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Supplementary Material for: Evaluation of Reticular Pseudodrusen by Polarization-Sensitive Optical Coherence Tomography: case report
Published on (4 days ago)
Introduction: Reticular pseudodrusen (RPD) are an important clinical biomarker associated with progression to late age-related macular degeneration (AMD). We report polarization-sensitive optical coherence tomography (PS-OCT) findings in a case of RPD and evaluate the entropy characteristics of these lesions. Case Presentation: A 73-year-old man presented for evaluation of retinal angiomatous proliferation in his right eye. The left eye demonstrated multiple round, white–yellowish macular lesion
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Supplementary Material for: Evaluation of Reticular Pseudodrusen by Polarization-Sensitive Optical Coherence Tomography: case report
Published on (4 days ago)
Introduction: Reticular pseudodrusen (RPD) are an important clinical biomarker associated with progression to late age-related macular degeneration (AMD). We report polarization-sensitive optical coherence tomography (PS-OCT) findings in a case of RPD and evaluate the entropy characteristics of these lesions. Case Presentation: A 73-year-old man presented for evaluation of retinal angiomatous proliferation in his right eye. The left eye demonstrated multiple round, white–yellowish macular lesion
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OCTA-Mosaicking Dataset
Published on (4 days ago)
This repository includes the following archives: OCTA-MosaickingDataset.zip Mosaicking_Results.zip The file "OCTA-MosaickingDataset.zip" includes a dataset with 19 sets of superficial capillary plexus OCTA images captured from 10 patients (right and left eyes, except for patient #6, which only includes left eye images). Each set consists of three to five overlapping images covering the area from the optic disc to the retinal temporal region, including the macular area. From these sets, wid
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Development and Validation of a Deep Learning Model for Macular Hole Staging from Optical Coherence Tomography
Published on (4 days ago)
Objective: To explore the use of artificial intelligence (AI) deep learning algorithms to construct an automated identification model for macular hole (MH) staging and intelligent assisted diagnosis and treatment system based on fundus optical coherence tomography (OCT) images. Method: Based on the image data of macular hole diagnosed by OCT examination at Sichuan Eye Hospital from July 2019 to October 2024, combined with manual and procedural screening methods, images with annotation errors and
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Brn3a<sup>+</sup> and FG<sup>+</sup> RGC counts in Group 1 wholemounted retinae.
Published on (4 days ago)
Immunohistochemically stained wholemounted retina, stained for Brn3a (red; Ai and Aii) and FG (gold; Aiii and Aiv; photographs taken in the same field, respectively), taken from Group 1a animals (intact optic nerve; Ai and Aiii) and Group 1b animals (21 days after ONC; Aii and Aiv). All images are representative of the 12 images taken per retina from 6 different animals (scale bar: 50 µm). In (B), the mean number of Brn3a+ and FG+ RGCs in a 1 mm2 region, from Group 1a and Group 1b rats, calculat
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Finding Ophthalmic Risk and Evaluating the Value of Eye exams and their predictive Reliability (FOREVER) - dataset
Published on (4 days ago)
The Finding Ophthalmic Risk and Evaluating the Value of Eye exams and their predictive Reliability (FOREVER) dataset was developed in a collaborative effort with Synoptik A/S under the supervision of a consortium of international partners. It consists of extensive eye examinations carried out in optician stores, questionnaire responses, and for a subpopulation blood pressure measurements and saliva samples. In addition to the tabular examination data, e.g. intraocular pressure and visual acuity
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Finding Ophthalmic Risk and Evaluating the Value of Eye exams and their predictive Reliability (FOREVER) - dataset
Published on (4 days ago)
The Finding Ophthalmic Risk and Evaluating the Value of Eye exams and their predictive Reliability (FOREVER) dataset was developed in a collaborative effort with Synoptik A/S under the supervision of a consortium of international partners. It consists of extensive eye examinations carried out in optician stores, questionnaire responses, and for a subpopulation blood pressure measurements and saliva samples. In addition to the tabular examination data, e.g. intraocular pressure and visual acuity
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Supplementary Material for: Spontaneous Separation of Epiretinal Membrane Following Acute Posterior Vitreous Detachment Captured on OCT: A Case Report
Published on (4 days ago)
Introduction: This report describes a case of spontaneous epiretinal membrane (ERM) separation following an acute symptomatic posterior vitreous detachment (PVD) that was captured on imaging. Case Presentation: A 55-year-old female with a history of an ERM and chronic metamorphopsias in the right eye presented with two days of new flashes and floaters. Dilated fundus examination revealed an ERM unchanged from prior and a new Weiss ring. Optical coherence tomography (OCT) demonstrated a new deta
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Supplementary Material for: Spontaneous Separation of Epiretinal Membrane Following Acute Posterior Vitreous Detachment Captured on OCT: A Case Report
Published on (4 days ago)
Introduction: This report describes a case of spontaneous epiretinal membrane (ERM) separation following an acute symptomatic posterior vitreous detachment (PVD) that was captured on imaging. Case Presentation: A 55-year-old female with a history of an ERM and chronic metamorphopsias in the right eye presented with two days of new flashes and floaters. Dilated fundus examination revealed an ERM unchanged from prior and a new Weiss ring. Optical coherence tomography (OCT) demonstrated a new deta
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Anterior Segment-OCT based Evaluation of conjunctiva following Tube coverage with EverPatch
Published on (4 days ago)
Objectives: To evaluate the safety of a novel patch graft, EverPatch PlusⓇ in glaucoma drainage device (GDD) surgery. Methods: We prospectively studied 18 eyes undergoing GDD implantation with EverPatch PlusⓇ and 105 control eyes with conventional scleral patch grafts at Sensho-kai Eye Institute. Postoperative conjunctiva overlying the EverPatch PlusⓇ was studied using anterior segment optical coherence tomography. Patches were secured to the sclera with at least four nonabsorbable sutures. The
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Anterior Segment-OCT based Evaluation of conjunctiva following Tube coverage with EverPatch
Published on (4 days ago)
Objectives: To evaluate the safety of a novel patch graft, EverPatch PlusⓇ in glaucoma drainage device (GDD) surgery. Methods: We prospectively studied 18 eyes undergoing GDD implantation with EverPatch PlusⓇ and 105 control eyes with conventional scleral patch grafts at Sensho-kai Eye Institute. Postoperative conjunctiva overlying the EverPatch PlusⓇ was studied using anterior segment optical coherence tomography. Patches were secured to the sclera with at least four nonabsorbable sutures. The
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ERDES: A Benchmark Video Dataset for Retinal Detachment and Macular Status Classification in Ocular Ultrasound
Published on (4 days ago)
Retinal detachment (RD) is a vision-threatening condition requiring prompt intervention to preserve sight. A critical factor in treatment urgency and visual prognosis is macular involvement—whether the macula is intact or detached. Point-of-care ultrasound (POCUS) is a fast, non-invasive, and cost-effective imaging tool commonly used to detect RD across various clinical settings. However, its diagnostic utility is limited by the need for expert interpretation, especially in resource-limited envi
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Supplementary Material for: Usefulness of color laser scanning ophthalmoscopy and optical coherence tomography angiography in the diagnosis of acute zonal occult outer retinopathy complex: a report of
Published on (4 days ago)
Introduction: The term “acute zonal occult outer retinopathy (AZOOR) complex" encompasses a group of conditions associated with photoreceptor damage, and most patients with AZOOR complex experience irreversible visual-field defects and retinal pigment epithelium atrophy with no effective treatment. Herein, we report two cases of AZOOR complex in which multimodal imaging, including color scanning laser ophthalmoscopy (SLO) and en face optical coherence tomography (OCT) angiography (OCTA), facilit
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Supplementary Material for: Usefulness of color laser scanning ophthalmoscopy and optical coherence tomography angiography in the diagnosis of acute zonal occult outer retinopathy complex: a report of
Published on (4 days ago)
Introduction: The term “acute zonal occult outer retinopathy (AZOOR) complex" encompasses a group of conditions associated with photoreceptor damage, and most patients with AZOOR complex experience irreversible visual-field defects and retinal pigment epithelium atrophy with no effective treatment. Herein, we report two cases of AZOOR complex in which multimodal imaging, including color scanning laser ophthalmoscopy (SLO) and en face optical coherence tomography (OCT) angiography (OCTA), facilit
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Comparative evaluation of smartphone-based fundus imaging systems in dogs and cats Master Table
Published on (4 days ago)
This dataset contains the raw and processed data used in the study “Clinical feasibility of smartphone-based fundus imaging in dogs and cats: a comparative study of four handheld devices.” The dataset includes demographic information for all animals enrolled in the study (species, breed, age, sex, neuter status) as well as imaging results obtained using five retinal imaging systems: one reference handheld fundus camera (Optomed Aurora) and four smartphone-based fundus imaging devices (iExa
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Comparative evaluation of smartphone-based fundus imaging systems in dogs and cats Master Table
Published on (4 days ago)
This dataset contains the raw and processed data used in the study “Clinical feasibility of smartphone-based fundus imaging in dogs and cats: a comparative study of four handheld devices.” The dataset includes demographic information for all animals enrolled in the study (species, breed, age, sex, neuter status) as well as imaging results obtained using five retinal imaging systems: one reference handheld fundus camera (Optomed Aurora) and four smartphone-based fundus imaging devices (iExa
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ERDES: A Benchmark Video Dataset for Retinal Detachment and Macular Status Classification in Ocular Ultrasound
Published on (4 days ago)
Retinal detachment (RD) is a vision-threatening condition requiring prompt intervention to preserve sight. A critical factor in treatment urgency and visual prognosis is macular involvement—whether the macula is intact or detached. Point-of-care ultrasound (POCUS) is a fast, non-invasive, and cost-effective imaging tool commonly used to detect RD across various clinical settings. However, its diagnostic utility is limited by the need for expert interpretation, especially in resource-limited envi
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Brn3a<sup>+</sup>, Islet-1<sup>+</sup> and βIII-tubulin<sup>+</sup> RGC counts in Group 2 radial retinal sections from Group 2a eyes (intact optic nerves) and Group 2b eyes (21 days after ONC).
Published on (4 days ago)
Immunohistochemically stained 20-µm-thick radial sections of retina through the optic nerve head, stained for βIII-tubulin (green; Ai and Aii) or Brn3a (green) and Islet-1 (red; Aiii and Aiv), taken from Group 2a eyes (Ai and Aiii) and Group 2b eyes (Aii and Aiv) with the ganglion cell layer (GCL) labelled. All images are representative of the two images/section, four sections/retina, and six retinae prepared from six different animals/group. DAPI was used as a nucleus stain (scale bar: 15 µm).
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JRC-Multi-Modal Retinal Vessel Segmentation
Published on (4 days ago)
Existing retinal vessel segmentation datasets are mostly fundus images. We release this multi-modal retinal vessel segmentation dataset with our paper "Universal Vessel Segmentation for Multi-Modality Retinal Images" (IEEE Trans. Image Processing, vol.34, pp.7903-7918, 2025) to facilitate the study of vessel segmentation in multi-modal retinal imaging. The dataset has three subdatasets: JRCFA, JRCFAF and JRCIR, for the Fluorescence Angiography (FA), Fundus AutoFluorescence (FAF) and Infrard Re
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Photopic flicker optoretinography captures the light-driven length modulation of photoreceptors during phototransduction
Published on (4 days ago)
In this study, we used an inhibitor of phosphodiesterase 6 (PDE6) to examine the impact of changes in the conformation of the PDE6 protein on the light-induced process responsible for altering the length of the outer segments of photoreceptor cells in both human and rodent eyes. We employed a imaging method called spatiotemporal optical coherence tomography, which ensures high contrast and phase stability within the strongly scattering photoreceptor– Retinal Pigment Epithelium complex. Usi
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STARE
Published on (4 days ago)
Automatic segmentation of retinal vessels in fundus images plays an important role in the diagnosis of some diseases such as diabetes and hypertension.
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Dataset for OPA1-associated optic neuropathy in rhesus macaques
Published on (4 days ago)
This dataset contains the anonymized data used for all analyses in a study of OPA1-associated optic neuropathy in rhesus macaques. The Excel workbook All\_data\_Anonymized\_25Nov25.xlsx includes multiple worksheets with nonhuman primate data, covering optic nerve head imaging and clinical variables, peripapillary retinal nerve fiber layer (RNFL) thickness, pattern electroretinography (PERG) outcomes, histologic retinal ganglion cell density estimates, OPA1 genotype information, intraoc
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Dataset for OPA1-associated optic neuropathy in rhesus macaques
Published on (4 days ago)
This dataset contains the anonymized data used for all analyses in a study of OPA1-associated optic neuropathy in rhesus macaques. The Excel workbook All\_data\_Anonymized\_25Nov25.xlsx includes multiple worksheets with nonhuman primate data, covering optic nerve head imaging and clinical variables, peripapillary retinal nerve fiber layer (RNFL) thickness, pattern electroretinography (PERG) outcomes, histologic retinal ganglion cell density estimates, OPA1 genotype information, intraoc
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"Ibn Al-Haitham Fundus Image Dataset"
Published on (4 days ago)
"The Ibn Al-Haitham Glaucoma Fundus Dataset is a curated medical imaging collection developed to support research in glaucoma segmentation and classification. The dataset was compiled in collaboration with the Ibn Al-Haitham Teaching Eye Hospital in Baghdad, Iraq, and includes 3,000 high-resolution retinal fundus images acquired from clinical settings over a three-month data collection period. The dataset represents a diverse patient population, including both male and female subjects across dif
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HYAMD High-Resolution Fundus Image Dataset for age related macular degeneration (AMD) Diagnosis
Published on (4 days ago)
The Hillel Yaffe Age Related Macular Degeneration (HYAMD) longitudinal dataset comprises of 1,560 Digital Fundus Images (DFIs) of 325 patients examined at the Hillel Yaffe Medical Center (Hadera, Israel, Helsinki approval number 0048-24-HYMC) providing follow-up data from 2021 to 2024. The AMD cohort includes 147 patients (73 males, 74 females) aged 54-94, while the control group comprises 190 diabetic retinopathy (DR) patients (111 males, 78 females) aged 24-92\. DFIs in the AMD cohort either p
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Isfahan MISP dataset
Published on (4 days ago)
The Isfahan MISP dataset, consisting of retinography and angiography images of diabetic patients.
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RetinaMNIST
Published on (4 days ago)
RetinaMNIST is a medical imaging dataset containing 5,000 images of retinal scans, each with a size of 224x224x3.
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Diabetic Retinopathy Early Analysis and Detection System
Published on (4 days ago)
This preprint presents an AI-driven system for the early analysis and detection of Diabetic Retinopathy (DR) using ensemble deep learning techniques. Diabetic Retinopathy is a leading cause of preventable blindness worldwide, and timely diagnosis plays a critical role in reducing irreversible vision loss. The proposed framework integrates multiple deep learning architectures, including convolutional neural networks and transformer-based models, to improve diagnostic accuracy, robustness, and ge
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Diabetic Retinopathy Early Analysis and Detection System
Published on (4 days ago)
This preprint presents an AI-driven system for the early analysis and detection of Diabetic Retinopathy (DR) using ensemble deep learning techniques. Diabetic Retinopathy is a leading cause of preventable blindness worldwide, and timely diagnosis plays a critical role in reducing irreversible vision loss. The proposed framework integrates multiple deep learning architectures, including convolutional neural networks and transformer-based models, to improve diagnostic accuracy, robustness, and ge
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Data Files for: Pedersen et. al. The cone photoreceptor mosaic in aniridia: within-family phenotype-genotype discordance
Published on (4 days ago)
DATASET MIGRATED FROM FIGSHARE: <p>In this descriptive case-control study we used high-resolution <i>in-vivo </i>retinal imaging to investigate within-family variability in macular retinal layer thicknesses, cone photoreceptor density and mosaic regularity in <i>PAX6-</i>related aniridia compared with normal controls.</p><p>Data Files:</p><p>(i) OCT measurements of retinal layer thicknesses from seven persons with congenital aniridia</p>
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JRC-Multi-Modal Retinal Vessel Segmentation
Published on (4 days ago)
Existing retinal vessel segmentation datasets are mostly fundus images. We release this multi-modal retinal vessel segmentation dataset with our paper "Universal Vessel Segmentation for Multi-Modality Retinal Images" (IEEE Trans. Image Processing, vol.34, pp.7903-7918, 2025) to facilitate the study of vessel segmentation in multi-modal retinal imaging. The dataset has three subdatasets: JRCFA, JRCFAF and JRCIR, for the Fluorescence Angiography (FA), Fundus AutoFluorescence (FAF) and Infrard Re
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Real-Time Imaging of Rabbit Retina with Retinal Degeneration by Using Spectral-Domain Optical Coherence Tomography
Published on (4 days ago)
BackgroundRecently, a transgenic rabbit with rhodopsin Pro 347 Leu mutation was generated as a model of retinitis pigmentosa (RP), which is characterized by a gradual loss of vision due to photoreceptor degeneration. The purpose of the current study is to noninvasively visualize and assess time-dependent changes in the retinal structures of a rabbit model of retinal degeneration by using speckle noise-reduced spectral-domain optical coherence tomography (SD-OCT). Methodology/Principal FindingsWi
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HYAMD High-Resolution Fundus Image Dataset for age related macular degeneration (AMD) Diagnosis
Published on (4 days ago)
The Hillel Yaffe Age Related Macular Degeneration (HYAMD) longitudinal dataset comprises of 1,560 Digital Fundus Images (DFIs) of 325 patients examined at the Hillel Yaffe Medical Center (Hadera, Israel, Helsinki approval number 0048-24-HYMC) providing follow-up data from 2021 to 2024. The AMD cohort includes 147 patients (73 males, 74 females) aged 54-94, while the control group comprises 190 diabetic retinopathy (DR) patients (111 males, 78 females) aged 24-92\. DFIs in the AMD cohort either p
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Endocrine modulation of cortical and retinal baseline blood flow across the menstrual cycle
Published on (4 days ago)
This dataset imaging dataset comprising in vivo brain data from 26 healthy volunteers at three points across the menstrual cycle (early follicular phase (EFP), late follicular phase (LFP) and mid-luteal phase (MLP)), including 3 Tesla (3T) magnetic resonance imaging (MRI) and optical coherence tomography angiography (OCT-A), together with hormone samples (oestrogen and progesterone).
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RVO-Lesion: A Dual-Task OCT Dataset for Joint Segmentation and Detection of Macular Lesions in Retinal Vein Occlusion
Published on (4 days ago)
Retinal vein occlusion (RVO) is one of the most common vision-threatening retinal diseases, primarily due to complications such as macular edema (ME). Optical coherence tomography (OCT), a non-invasive imaging modality, has become an essential tool for the diagnosis, treatment monitoring, and clinical evaluation of RVO, owing to its ability to clearly visualize fine retinal structures and macular fluid distribution. OCT facilitates precise segmentation, abnormality detection, and quantitative an
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RVO-Lesion: A Dual-Task OCT Dataset for Joint Segmentation and Detection of Macular Lesions in Retinal Vein Occlusion
Published on (4 days ago)
Retinal vein occlusion (RVO) is one of the most common vision-threatening retinal diseases, primarily due to complications such as macular edema (ME). Optical coherence tomography (OCT), a non-invasive imaging modality, has become an essential tool for the diagnosis, treatment monitoring, and clinical evaluation of RVO, owing to its ability to clearly visualize fine retinal structures and macular fluid distribution. OCT facilitates precise segmentation, abnormality detection, and quantitative an
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Datasets from "In vivo volumetric analysis of retinal vascular hemodynamics in mice with spatio-temporal optical coherence tomography"
Published on (4 days ago)
Dataset DescriptionThis repository contains the raw data files that were used to generate Figures 2, 3, 4, 5, 6, and 8 in the manuscript. The file names correspond to the figure (or subfigure) numbers in which they were used, allowing for straightforward cross-referencing between the data and visualized results.Data OverviewThe study is based on the analysis of time-resolved 3D images of the mouse retina. These volumetric datasets capture both structural information and dynamic changes over time
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OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods
Published on (4 days ago)
Optical coherence tomography (OCT) is a non-invasive imaging technique that has extensive clinical applications in ophthalmology. OCT enables the visualization of the retinal layers, playing a vital role in the early detection and monitoring of retinal diseases. OCT uses the principle of light wave interference to create detailed images of the retinal microstructures, making it a valuable tool for diagnosing ocular conditions. Optical Coherence Tomography Dataset for Image-Based Deep Learning Me
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Outer Retinal Corrugations: Imaging Dataset and Mechanical Models
Published on (4 days ago)
Dataset of the Data In Brief publication "Outer Retinal Corrugations: Imaging Dataset and Mechanical Models", Darabad et al. This dataset contains the raw swept-source optical coherence tomography cross-sectional scans that were used to generate the mechanical models that elucidate the formation of outer retinal corrugations in rhegmatogenous retinal detachment.
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Supplementary Material for: The British-Israeli Project for Algorithm-Based Management of Age-related Macular Degeneration: Deep Learning Integration for Real- World Data Management and Analysis
Published on (4 days ago)
Purpose: To describe the development of an integrative dataset, combining clinical and optical coherence tomography (OCT) imaging data by applying a deep learning algorithm for automated, objective, and comprehensive quantification of OCT scans to two large real-world datasets of eyes with neovascular age-related macular degeneration (nAMD). We further report baseline characteristics of the study population, focusing on demographics, clinical parameters, and quantitative retinal morphological fe
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Supplementary Material for: The British-Israeli Project for Algorithm-Based Management of Age-related Macular Degeneration: Deep Learning Integration for Real- World Data Management and Analysis
Published on (4 days ago)
Purpose: To describe the development of an integrative dataset, combining clinical and optical coherence tomography (OCT) imaging data by applying a deep learning algorithm for automated, objective, and comprehensive quantification of OCT scans to two large real-world datasets of eyes with neovascular age-related macular degeneration (nAMD). We further report baseline characteristics of the study population, focusing on demographics, clinical parameters, and quantitative retinal morphological fe
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Longitudinal Healthy Multi-modal AO Datasets With Two Timepoints
Published on (4 days ago)
Validation dataset for the paper:Chen, M., Cooper, R.F., Gee, J.C., Brainard, D.H. and Morgan, J.I., 2019. Automatic longitudinal montaging of adaptive optics retinal images using constellation matching. Biomedical Optics Express, 10(12), pp.6476-6496. 4 complete longitudinal AO imaging datasets of healthy subjects, with two timepoints. Each retinal location contains 3 channels (confocal, split detection, dark field). The intensity for the split detection in the earlier dataset for each subje
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Fundus-AVSeg
Published on (4 days ago)
AbstractRetinal artery-vein vessels are associated with systemic chronic diseases and cardiovascular diseases. Therefore, the accurate quantitative analysis of retinal artery-vein vessels is the preliminary basis of clinical diagnosis. Most of the existing artificial intelligence(AI) methods are data-driven. Although some public retinal artery-vein vessel segmentation datasets have been released, their data quality is unsatisfactory. In this paper, we establish a new fundus image dataset for AI-
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Chákṣu IMAGE: A glaucoma-specific fundus image database
Published on (4 days ago)
Chákṣu : A glaucoma specific fundus i mage database J. R. Harish Kumar, Chandra Sekhar Seelamantula, J. H. Gagan, Yogish S. Kamath, Neetha I. R. Kuzhuppilly, U. Vivekanand, Preeti Gupta, and Shilpa Patil Introduction Glaucoma is a chronic, irreversible, and slowly progressive optic neuropathy that damages the optic nerve. Depending on the extent of damage to the optic nerve, glaucoma can cause moderate to s
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Chákṣu: A glaucoma specific fundus image database
Published on (4 days ago)
Chákṣu : A glaucoma specific fundus i mage database J. R. Harish Kumar, Chandra Sekhar Seelamantula, J. H. Gagan, Yogish S. Kamath, Neetha I. R. Kuzhuppilly, U. Vivekanand, Preeti Gupta, and Shilpa Patil Introduction Glaucoma is a chronic, irreversible, and slowly progressive optic neuropathy that damages the optic nerve. Depending on the extent of damage to the optic nerve, glaucoma can cause moderate to s
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OCT5k: A dataset of multi-disease and multi-graded annotations for retinal layers
Published on (4 days ago)
The thickness and appearance of retinal layers are essential markers for diagnosing and studying eye diseases. Despite the increasing availability of imaging devices to scan and store large amounts of data, analyzing retinal images and generating trial endpoints has remained a manual, error-prone, and time-consuming task. In particular, the lack of large amounts of high-quality labels for different diseases hinders the development of automated algorithms. Therefore, we have compiled 5016 pixel-w
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Supplementary file 2_Retinal features as predictive indicators for high myopia: insights from explainable multi-machine learning models.docx
Published on (4 days ago)
ObjectivesTo investigate the role of retinal characteristics for high myopia (HM) prediction based on multi-machine learning (ML) and to provide an interpretable framework for the results.MethodsA total of 2981 patients (2981 eyes) were included, comprising 1191 HM eyes and 1790 non-HM eyes. A deep semantic segmentation network was used to quantify retinal structural parameters. Five ML algorithms were evaluated to develop predictive models, and SHapley Additive exPlanations method was applied t
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HVDROPDB Datasets for Classification and Segmentation for Research in Retinopathy of Prematurity, Ranjana Agrawal
Published on (4 days ago)
HVDROPDB_RetCam_Neo_Segmentation and HVDROPDB_RetCam_Neo_Classification are the first datasets to be published for the retinal structure segmentation to identify the Retinopathy of Prematurity (ROP). They are prepared by screening the preterm infants visiting PBMA's H.V. Desai Eye Hospital, Pune with two diverse imaging systems RetCam and Neo. The Segmentation dataset contains sub-datasets for the segmentation of optic disc, blood vessels, and demarcation line/ridge from the fundus images of pre
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FOVEA: Preoperative and intraoperative fetinal fundus images with optic disc and retinal vessel annotations
Published on (4 days ago)
The performance and scope of computer vision methods applied to ophthalmic images is highly dependent on the availability of labelled training data. While there are a number of colour fundus photography datasets, FOVEA is to the best of our knowledge the first dataset that matches high-quality annotations in the intraoperative domain with those in the preoperative one. It comprises data from 40 patients collected at Moorfields Eye Hospital (London, UK) and includes preoperative and intraoperativ
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Conjunctival and Retinal Images of Healthy Subjects and Subjects with Diabetes
Published on (4 days ago)
This dataset includes conjunctival and retinal images collected from both diabetic and healthy individuals to support research on diabetes-related vascular changes. For each subject, eight conjunctival images (four per eye: looking left, right, up, and down) are provided. Diabetic subjects additionally have corresponding left and right retinal fundus images. Metadata for diabetic participants includes classification into subgroups: diabetes only, diabetes with retinopathy, or diabetes with relat
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Multi-task OCT for Octascope
Published on (4 days ago)
This dataset supports the development of Octascope, a high-performance foundation model for optical coherence tomography (OCT) image analysis. The dataset comprises 449,000+ OCT images spanning multiple tissue types, including retina, kidney, and abdominal tissues, curated from publicly available sources and prior research efforts. These images were used in a curriculum learning strategy to pre-train convolutional neural networks on both general (ImageNet) and domain-specific OCT features. The r
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Annotated dataset for retinal fundus image segmentation; Vascular arcade and optic nerve
Published on (4 days ago)
This repository contains a set of manually generated segmentation masks derived from retinal fundus images from the public APTOS 2019 Blindness Detection dataset. The annotations correspond to two relevant anatomical structures in ophthalmology: the vascular arcade and the optic nerve. The dataset includes 500 masks in PNG format, along with annotation files in COCO (JSON) format and Python scripts used to generate the masks. This resource is intended to support the training and comparative eval
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Annotated dataset for retinal fundus image segmentation; Vascular arcade and optic nerve
Published on (4 days ago)
This repository contains a set of manually generated segmentation masks derived from retinal fundus images from the public APTOS 2019 Blindness Detection dataset. The annotations correspond to two relevant anatomical structures in ophthalmology: the vascular arcade and the optic nerve. The dataset includes 500 masks in PNG format, along with annotation files in COCO (JSON) format and Python scripts used to generate the masks. This resource is intended to support the training and comparative eval
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<b>Ultra-wide-field (SLO) fundus image dataset for intelligent diabetic retinopathy system</b>
Published on (4 days ago)
Diabetic retinopathy (DR), the most prevalent microvascular complication of diabetes mellitus, is the leading cause of irreversible vision loss in the global working-age population. At present, deep learning-integrated ultra-wide-field (UWF) image analysis systems have improved DR grading consistency and reduced peripheral lesion misdiagnosis rates, thereby overcoming the limitations of traditional 45-viewing field AI models in detecting peripheral retinal lesions. However, the lack of standardi
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<b>Ultra-wide-field (SLO) fundus image dataset for intelligent diabetic retinopathy system</b>
Published on (4 days ago)
Diabetic retinopathy (DR), the most prevalent microvascular complication of diabetes mellitus, is the leading cause of irreversible vision loss in the global working-age population. At present, deep learning-integrated ultra-wide-field (UWF) image analysis systems have improved DR grading consistency and reduced peripheral lesion misdiagnosis rates, thereby overcoming the limitations of traditional 45-viewing field AI models in detecting peripheral retinal lesions. However, the lack of standardi
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Code from: The retinal age gap: An affordable and highly accessible biomarker for population-wide disease screening across the globe
Published on (4 days ago)
Traditional biomarkers, such as those obtained from blood tests, are essential for early disease detection, improving health outcomes, and reducing healthcare costs. However, they often involve invasive procedures, specialized laboratory equipment, or special handling of biospecimens. The retinal age gap (RAG) has emerged as a promising new biomarker that can overcome these limitations, making it particularly suitable for disease screening in low- and middle-income countries. This study a
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Robust semi-automatic vessel tracing in the human retinal image by an instance segmentation neural network
Published on (4 days ago)
Vasculature morphology and hierarchy are essential for blood perfusion. Human retinal 20 circulation is an intricate vascular system emerging and remerging at the optic nerve head 21 (ONH). Tracing retinal vascular branching from ONH can allow detailed morphological 22 quantification, and yet remains a challenging task. We presented a robust semi-automatic 23 vessel tracing algorithm on human fundus images by an instance segmentation neural 24 network (InSegNN). InSegNN separates and label
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"Fundus Image Dataset for Five-Stage Diabetic Retinopathy Classification"
Published on (4 days ago)
"Diabetic retinopathy (DR) is a leading cause of vision impairment worldwide, and accurate automated detection is critical for early intervention. We present a curated dataset of 6,399 retinal fundus images labeled across five DR severity levels: No DR (2,805 images), Mild (740), Moderate (1,898), Proliferative Mild (590), and Severe (366). The dataset captures diverse retinal features and class imbalances typical of real-world clinical scenarios, making it suitable for training and evaluating d
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LLRetina: low-light color fundus image dataset
Published on (4 days ago)
The LLRetina dataset comprises paired low-light (LL) and high-light (HL) color fundus images. Based on flash irradiance during imaging, the dataset is divided into two subsets: LLRetina_LL1 and LLRetina_LL2. LLRetina_LL1 includes both healthy and diseased eyes, while LLRetina_LL2 includes only healthy eyes. For LLRetina_LL1, we adopted a feature point-based image registration algorithm to estimate transformation matrices and spatially align each LL image with its corresponding HL image. The ra
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Dataset3: Fundus Image Dataset for Diabetic Retinopathy Classification
Published on (4 days ago)
This dataset supports the research article titled "RetinoNet: An EfficientNet and Feature Pyramid Network-Based Framework for Accurate Diabetic Retinopathy Classification". It contains preprocessed fundus images categorised by diabetic retinopathy severity levels (class 0–4). The preprocessing pipeline includes CLAHE contrast enhancement, denoising, and GrabCut segmentation to improve lesion visibility. This Zenodo record mirrors the Kaggle repository (https://www.kaggle.com/datasets/anithajaiku
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Dataset3: Fundus Image Dataset for Diabetic Retinopathy Classification
Published on (4 days ago)
This dataset supports the research article titled "RetinoNet: An EfficientNet and Feature Pyramid Network-Based Framework for Accurate Diabetic Retinopathy Classification". It contains preprocessed fundus images categorised by diabetic retinopathy severity levels (class 0–4). The preprocessing pipeline includes CLAHE contrast enhancement, denoising, and GrabCut segmentation to improve lesion visibility. This Zenodo record mirrors the Kaggle repository (https://www.kaggle.com/datasets/anithajaiku
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HRF-Seg+: A Multi-Structure Annotated Fundus Image Dataset with Optic Disc, Cup, Vessels, Alpha and Beta Zones
Published on (4 days ago)
HRF-Seg+ is an extended version of the public HRF (High-Resolution Fundus) dataset that includes pixel-wise annotated segmentation masks for five key retinal structures: - Optic Disc (purple)- Optic Cup (brown)- Retinal Vessels (orange)- Peripapillary Alpha Zone (blue-green)- Peripapillary Beta Zone (green) The dataset includes: - Folder 1: Segmented Optic Disc masks- Folder 2: Segmented Optic Cup masks- Folder 3: Segmented Retinal Vessel masks- Folder 4: Segmented Alpha and Beta Zones- Folder
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FIVES dataset
Published on (4 days ago)
A fundus image dataset for artificial intelligence based vessel segmentation.
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REFUGE
Published on (4 days ago)
Fundus image dataset for unsupervised domain adaptive segmentation
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Fundus Images Dataset
Published on (4 days ago)
The fundus images dataset is used for medical image enhancement. It contains 5,575 consecutive patients' fundus images.
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LLRetina: low-light color fundus image dataset
Published on (4 days ago)
The LLRetina dataset comprises paired low-light (LL) and high-light (HL) color fundus images. Based on flash irradiance during imaging, the dataset is divided into two subsets: LLRetina_LL1 and LLRetina_LL2. LLRetina_LL1 includes both healthy and diseased eyes, while LLRetina_LL2 includes only healthy eyes. For LLRetina_LL1, we adopted a feature point-based image registration algorithm to estimate transformation matrices and spatially align each LL image with its corresponding HL image. The ra
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"OD\/OC segmentation dataset"
Published on (4 days ago)
"The Retinal Fundus Glaucoma Challenge (REFUGE) dataset is our primary benchmark and is known for distribution differences between its subsets. We follow the official split with 1\\,200 training, 400 validation and 400 test images, each with expert OD\/OC masks and image-level glaucoma labels.The ORIGA dataset, collected by the Singapore Eye Research Institute, contains 650 images (168 glaucomatous) with OD\/OC annotations and glaucoma diagnosis. We use 260\/65\/325 images for training\/validati
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Supplementary file 1_Retinal features as predictive indicators for high myopia: insights from explainable multi-machine learning models.docx
Published on (4 days ago)
ObjectivesTo investigate the role of retinal characteristics for high myopia (HM) prediction based on multi-machine learning (ML) and to provide an interpretable framework for the results.MethodsA total of 2981 patients (2981 eyes) were included, comprising 1191 HM eyes and 1790 non-HM eyes. A deep semantic segmentation network was used to quantify retinal structural parameters. Five ML algorithms were evaluated to develop predictive models, and SHapley Additive exPlanations method was applied t
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Indian Diabetic Retinopathy Image Dataset (IDRiD) — Segmentation, Grading & Localization ZIP Files
Published on (4 days ago)
This record contains the original ZIP files of the Indian Diabetic Retinopathy Image Dataset (IDRiD): A. Segmentation.zip – Original images and groundtruth segmentation masks B. Disease Grading.zip – Fundus images with diabetic retinopathy and macular edema grading labels C. Localization.zip – Fundus images with optic disc and fovea center locations The original dataset was created and published by Porwal P. et al., IEEE Dataport. The uploader (Tayebeh Kazeminezhad) is not the cr
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Diabetic Retinopathy and Retinal Diseases Fundus Image Dataset
Published on (4 days ago)
The dataset used in this study consists of 22,454 high-quality color fundus images from three publicly available sources, merged for the classification of diabetic retinopathy (DR) and other retinal diseases. The images are categorized into 13 clinically significant classes, including various stages of DR (Mild, Moderate, Severe, Proliferative, Advanced PDR, Very Severe NPDR), other retinal conditions like Dry AMD, Wet AMD, Cataract, Hypertensive Retinopathy, Pathological Myopia, Glaucoma, and a
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Diabetic Retinopathy and Retinal Diseases Fundus Image Dataset
Published on (4 days ago)
The dataset used in this study consists of 22,454 high-quality color fundus images from three publicly available sources, merged for the classification of diabetic retinopathy (DR) and other retinal diseases. The images are categorized into 13 clinically significant classes, including various stages of DR (Mild, Moderate, Severe, Proliferative, Advanced PDR, Very Severe NPDR), other retinal conditions like Dry AMD, Wet AMD, Cataract, Hypertensive Retinopathy, Pathological Myopia, Glaucoma, and a
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An ultra-wide-field fundus image dataset for intelligent diagnosis of intraocular tumors
Published on (4 days ago)
This dataset consisted of 2,031 ultra-wide-field fundus images, encompassing five distinct types of intraocular tumors and normal images. It is provided as a zipped file containing six subfolders, each corresponding to a specific category: Normal, Choroidal Hemangioma (CH), Retinal Capillary Hemangioma (RCH), Choroidal Osteoma (CO), Retinoblastoma (RB), and Uveal Melanoma (UM). Each subfolder includes all the fundus images belonging to its respective category. The dataset is designed to facilita
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Bajwa Hospital (Multi Eye Disease Dataset)
Published on (4 days ago)
This Multi Disease Dataset was created for the study entitled "A Novel Hybrid Algorithm for Feature Selection Based On Optimization." The dataset was collected and compiled on April 20, 2022, at the "Bajwa Hospital, Dina Nagar, Gurdaspur, India". The dataset was created using image assets from three different eye modalities. It contains images of the eye categorised into four distinct categories: normal, cataract, glaucoma, and retinal disease. The dataset consists of 100 fundus images of catar
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FIQS Dataset (Fundus Image Quality Scores)
Published on (4 days ago)
We establish a new dataset, Fundus Image Quality Scores (FIQS), including 2246 fundus images with continuous numerical mean opinion scores (MOSs) ranging from 0 to 100 and three-level labels (``Good", ``Usable", and ``Reject"). This dataset was annotated manually by six professional ophthalmologists to represent the real critical factors affecting the fundus image quality. The images in the FIQS dataset have two resolutions: original size (preprocessed image sized around $1942 \times 1942$) and
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Fundus Image Myopia Development (FIMD) dataset
Published on (4 days ago)
Fundus Image Myopia Development (FIMD) dataset contains 70 retinal image pairs, in which, there is obvious myopia development between each pair of images. In addition, each pair of retinal images has a large overlap area, and there is no other retinopathy. In order to perform a reliable quantitative evaluation of registration results, we follow the annotation method of Fundus Image Registration (FIRE) dataset [1] to label control points between the pair of retinal images with the help of experie
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An ultra-wide-field fundus image dataset for intelligent diagnosis of intraocular tumors
Published on (4 days ago)
This dataset consisted of 2,031 ultra-wide-field fundus images, encompassing five distinct types of intraocular tumors and normal images. It is provided as a zipped file containing six subfolders, each corresponding to a specific category: Normal, Choroidal Hemangioma (CH), Retinal Capillary Hemangioma (RCH), Choroidal Osteoma (CO), Retinoblastoma (RB), and Uveal Melanoma (UM). Each subfolder includes all the fundus images belonging to its respective category. The dataset is designed to facilita
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Test UWF image datasets
Published on (4 days ago)
Background Retinal breaks are critical lesions that can lead to retinal detachment and vision loss if not detected and treated early. Automated and precise delineation of retinal breaks using ultra-widefield (UWF) fundus images remains a significant challenge in ophthalmology. Objective This study aimed to develop and validate a deep learning model based on the PraNet architecture for the accurate delineation of retinal breaks in UWF images, with a particular focus on segmentation per
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Test UWF image datasets
Published on (4 days ago)
Background Retinal breaks are critical lesions that can lead to retinal detachment and vision loss if not detected and treated early. Automated and precise delineation of retinal breaks using ultra-widefield (UWF) fundus images remains a significant challenge in ophthalmology. Objective This study aimed to develop and validate a deep learning model based on the PraNet architecture for the accurate delineation of retinal breaks in UWF images, with a particular focus on segmentation per
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Rotterdam Artery-vein Segmentation Dataset
Published on (4 days ago)
Dataset of color fundus images annotated at the Department of Ophthalmology, Erasmus MC, Rotterdam with semi-manual artery-vein segmentations. Segmentations were acquired by manual refinement of outputs from a vessel segmentation model trained on publicly-available datasets followed by coloring of the artery and vein trees in an overlapping manner. Annotations were checked for correct connectivity of artery and vein trees.
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Hillel Yaffe Glaucoma Dataset (HYGD): A Gold-Standard Annotated Fundus Dataset for Glaucoma Detection
Published on (4 days ago)
Glaucomatous optic neuropathy (GON) is a leading cause of irreversible blindness worldwide, affecting an estimated 64.3 million people globally with projections reaching 111.8 million by 2040. Approximately 50% of cases remain undiagnosed until advanced stages when vision loss becomes noticeable. Traditional diagnosis requires comprehensive ophthalmic examinations by specialists, creating accessibility barriers in many regions. The Hillel Yaffe Glaucoma Dataset (HYGD) addresses a critical limit
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Dataset of Retinal blood Vessels of Healthy and Diabetic Retinopathy Individuals
Published on (4 days ago)
This dataset contains 50 retinal blood vessels extracted from retinal images available in Diabetic Retinopathy Image Database (DRiDB) public database. The database contains 50 colour fundus images that were captured with Zeiss VISUCAM 200 fundus camera at 45o field of view. 36 of these images has signs of DR while 14 does not show any signs of DR.
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The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment
Published on (4 days ago)
This dataset is an upgraded version of the dataset used in the latter part of the article "The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment" in Medical & Biological Engineering & Computing volume 57, pages677–687(2019). Images including both OCT and matched fundus photograph was crawled from Google Image Search using keywords related to normal retina, drusen, A
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AMDNet23: Fundus Image Dataset for Age-Related Macular Degeneration Disease Detection
Published on (4 days ago)
AMDNet23 is a curated dataset of 2000 high-quality fundus images compiled from six public sources: Ocular Disease Recognition, DR_200, Fundus Dataset, RFMiD, HRF, and ARIA. It includes 4 balanced classes with 400 images each: Normal, Diabetes, Cataract, and Age-related Macular Degeneration (AMD). All images were enhanced using advanced preprocessing techniques (Gamma correction, CLAHE and so on) to improve diagnostic clarity. This dataset supports research in deep learning-based ocular disease d
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The SUSTech-SYSU dataset for automated exudate detection and diabetic retinopathy grading
Published on (4 days ago)
Automated detection of exudates from fundus images plays an important role in diabetic retinopathy (DR) screening and evaluation, for which supervised or semi-supervised learning methods are typically preferred. However, a potential limitation of supervised and semi-supervised learning based detection algorithms is that they depend substantially on the sample size of training data and the quality of annotations, which is the fundamental motivation of this work. In this study, we construct a data
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Retinal Fundus Glaucoma Image dataset
Published on (4 days ago)
Z. Zhang et al ., "ORIGA-light: An online retinal fundus image database for glaucoma analysis and research," 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology , Buenos Aires, Argentina, 2010, pp. 3065-3068, doi: 10.1109/IEMBS.2010.5626137.Huazhu Fu, Fei Li, José Ignacio Orlando, Hrvoje Bogunović, Xu Sun, Jingan Liao, Yanwu Xu, Shaochong Zhang, Xiulan Zhang, July 9, 2019, "REFUGE: Retinal Fundus Glaucoma Challenge", IEEE Dataport, doi: https://dx.doi
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<b>MAPLES-DR: </b>MESSIDOR Anatomical and Pathological Labels for Explainable Screening of Diabetic Retinopathy
Published on (4 days ago)
MAPLES-DR (MESSIDOR Anatomical and Pathological Labels for Explainable Screening of Diabetic Retinopathy) [1], contains new diagnoses for Diabetic Retinopathy (DR) and Macular Edema (ME) as well as new pixel-wise segmentation maps for 10 retinal structures related to those pathologies for 198 images of the MESSIDOR public fundus dataset [2]. The annotation procedure and an evaluation of the MAPLES-DR labels are documented in a Scientific Data paper [1]. If you wish
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HPMI: A retinal fundus image dataset for identification of high and pathological myopia based on deep learning
Published on (4 days ago)
Myopia is one of the leading causes of visual impairment worldwide and can progress to high or pathological myopia (HM or PM) if proper measures were not taken. Accurate identification of HM and PH plays an important role for their intervention and treatment, which can be implemented leveraging deep learning technology on sufficient annotation image data. However, few efforts have been made to construct public accessible annotation data for this task. In this paper, we constructed a retinal fund
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Mule_Fundus_Image
Published on (4 days ago)
Fundus images are captured by handheld fundus camera. Currently, only part of fundus image are annotated with forvea location. Compared to desktop fundus camera, handheld camera suffers more unstable capturing and uncontrolled envrionments. We are now focusing on the enhancement algorithm for this kind of low-quality fundus image. The Mule dataset is a fundus image dataset with reflection of retinal nerve fiber layer (RNFL). It is composed of 538 color fundus images captured using a handheld fu
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HPMI: A retinal fundus image dataset for identification of high and pathological myopia based on deep learning
Published on (4 days ago)
Myopia is one of the leading causes of visual impairment worldwide and can progress to high or pathological myopia (HM or PM) if proper measures were not taken. Accurate identification of HM and PH plays an important role for their intervention and treatment, which can be implemented leveraging deep learning technology on sufficient annotation image data. However, few efforts have been made to construct public accessible annotation data for this task. In this paper, we constructed a retinal fund
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Synthetic Medical Images for Robust, Privacy-Preserving Training of AI: Application to Retinopathy of Prematurity Diagnosis
Published on (4 days ago)
Purpose: Developing robust artificial intelligence (AI) models for medical image analysis requires large quantities of diverse, well-curated data, which can prove challenging to collect due to privacy concerns, disease rarity, or diagnostic label quality. Collecting datasets for training diagnostic models for retinopathy of prematurity (ROP), a potentially-blinding disease, suffers from all of these challenges. Progressively-growing generative adversarial networks (PGANs) may help, as they can s
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Table 1_Retinal vessel metric analysis of type 1 diabetes mellitus in OCT angiography.docx
Published on (4 days ago)
PurposeTo investigate retinal vascular characteristics in type 1 diabetes mellitus (T1DM) patients at different stages via optical coherence tomography angiography (OCTA).DesignA retrospective observational study.Method63 T1DM patients (110 eyes) who underwent OCTA (3*3 mm) examination and 40 age-matched healthy individuals (79 eyes) were included. A deep learning model was used to segment the retinal arteries and veins on OCTA images, and the vascular metrics in the macular area, including frac
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Annotated Infant Fundus Images for Object Detection of Key Structures (Optic Disk and Macula)
Published on (4 days ago)
The data set contains fundus images for object detection research. Some images have clipped corners (patient info watermark is printed in this area) to ensure they are de-identified. All images are annotated by one senior pediatric ophthalmologist in SEH (Shenzhen Eye Hospital). An image annotation tool is developed based on the "VGG Image Annotator (VIA)" tool from the University of Oxford.The tool is included in this repository. The optic disk and macula in each fundus image are annotated by r
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Fundus Image Segmentation Benchmark Dataset for Blood Vessel Segmentation
Published on (4 days ago)
This benchmark dataset was created by combining three widely-used datasets: CHASEDB1, STARE, and DRIVE, to evaluate and enhance the performance of blood vessel segmentation models in fundus images. The dataset includes 28 high-resolution images from CHASEDB1, 20 diverse images from STARE, and 40 images from DRIVE, all preprocessed for uniformity in terms of size, contrast, and illumination. The data was split into training (70%), validation (15%), and testing (15%) sets, ensuring balanced repres
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Retinal Disease Classification
Published on (4 days ago)
Description: Retinal Disease Classification According to the WHO’s 2019 World Report on Vision, an estimated 2.2 billion people worldwide suffer from visual impairments, with at least 1 billion cases being preventable or yet to be addressed. The global eye care landscape faces significant challenges, including disparities in the accessibility and quality of prevention, treatment, and rehabilitation services. Early detection and diagnosis of ocular pathologies are crucial for preventing visual i
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Retinal Disease Classification
Published on (4 days ago)
Description: Retinal Disease Classification According to the WHO’s 2019 World Report on Vision, an estimated 2.2 billion people worldwide suffer from visual impairments, with at least 1 billion cases being preventable or yet to be addressed. The global eye care landscape faces significant challenges, including disparities in the accessibility and quality of prevention, treatment, and rehabilitation services. Early detection and diagnosis of ocular pathologies are crucial for preventing visual i
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LCFP-14M: A High-quality Large-scale Color Fundus Photography Images Dataset with Eleven Types of Annotations
Published on (4 days ago)
More and more human beings are suffering from ophthalmic diseases, and automatic analysis of images from Color Fundus Photography (CFP) using deep learning algorithms can improve the accuracy and prevalence of early screening for ophthalmic diseases. However, the performance of deep learning models is highly dependent on the training data, and the currently available retinal image datasets still have limitations such as scarce total data and poor disease diversity. Therefore, we extensively coll
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Bioptigen dataset
Published on (4 days ago)
A dataset of OCT scans obtained with the Bioptigen device.
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Data Files for: Pedersen et. al. The cone photoreceptor mosaic in aniridia: within-family phenotype-genotype discordance
Published on (4 days ago)
In this descriptive case-control study we used high-resolution in-vivo retinal imaging to investigate within-family variability in macular retinal layer thicknesses, cone photoreceptor density and mosaic regularity in PAX6- related aniridia compared with normal controls.Data Files:(i) OCT measurements of retinal layer thicknesses from seven persons with congenital aniridia(ii) Measurements of the cone photoreceptor mosaic and density for five persons with PAX6- related congeni
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Fundus Image Dataset for Vessel Segmentation
Published on (4 days ago)
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Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation
Published on (4 days ago)
This dataset contains 1200 color fundus images, which are a powerful resource to observe the fundus lesions, and build tools for automated diagnosis and analysis of pathologic myopia. In addition to color fundus images and labels for pathologic myopia category, our pathologic myopia (PALM) dataset also provides manual annotations of the optic disc and two lesion regions (atrophy and detachment), fovea localization, as well as data on the image acquisition procedure and device.
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Fairer AI in Ophthalmology via Implicit Fairness Learning for Mitigating Sexism and Ageism
Published on (4 days ago)
We collect the largest and most diverse fundus image dataset with data from over 8,405 patients representing a wide age range (0 to 90 years). The fundus dataset contains two types of advanced ultra-widefield and regular narrow-angle fundus images, with the ultra-widefield imaging dataset containing 16,530 fundus images annotated with 38 ophthalmic diseases and 67 fundus features and the narrow-angle imaging dataset containing 4,540 fundus images annotated with 16 ophthalmic diseases and 20 fund
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AROMA dataset
Published on (4 days ago)
AROMA dataset (Artifact Recognition on OCT-A, Modeling, and Analysis) General description One of the purpose of the AROMA study was to release a publicly available database, consisting of en face retinal SS OCT-A images labeled by artifact type and severity. This dataset includes: OCT-A scans (n = 281), each decomposed into 14 .png En Face images (C-scans); an Excel file that indicates the intensity of artifacts present and the Signal Strength for each OCT-A scan. The following artifacts
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AROMA dataset
Published on (4 days ago)
AROMA dataset (Artifact Recognition on OCT-A, Modeling, and Analysis) General description One of the purpose of the AROMA study was to release a publicly available database, consisting of en face retinal SS OCT-A images labeled by artifact type and severity. This dataset includes: OCT-A scans (n = 281), each decomposed into 14 .png En Face images (C-scans); an Excel file that indicates the intensity of artifacts present and the Signal Strength for each OCT-A scan. The following artifacts
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Table 3_Retinal vessel metric analysis of type 1 diabetes mellitus in OCT angiography.docx
Published on (4 days ago)
PurposeTo investigate retinal vascular characteristics in type 1 diabetes mellitus (T1DM) patients at different stages via optical coherence tomography angiography (OCTA).DesignA retrospective observational study.Method63 T1DM patients (110 eyes) who underwent OCTA (3*3 mm) examination and 40 age-matched healthy individuals (79 eyes) were included. A deep learning model was used to segment the retinal arteries and veins on OCTA images, and the vascular metrics in the macular area, including frac
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MARIO: Monitoring Age-related Macular Degeneration Progression In Optical Coherence Tomography
Published on (4 days ago)
This dataset was created for the MARIO challenge, held as a satellite event of the MICCAI 2024 conference. Context Age-related Macular Degeneration (AMD) is a progressive degeneration of the macula, the central part of the retina, affecting nearly 196 million people worldwide. It can appear from the age of 50, and more frequently from the age of 65 onwards, causing a significant weakening of visual capacities, without destroying them. It is a complex and multifactorial pathology in which genet
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Pixel-Level Segmented Longitudinal Optical Coherence Tomography Data of Macular Hole Surgery Outcomes
Published on (4 days ago)
This dataset contains a comprehensive collection of longitudinal Spectral-Domain Optical Coherence Tomography (SD-OCT) B-scans from patients who underwent surgery for idiopathic full-thickness macular hole (iFTMH). Unlike static datasets, this resource tracks retinal morphological changes from the preoperative baseline through six postoperative follow-up stages (up to 48 months), enabling research into retinal healing dynamics and surgical outcomes.
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Pixel-Level Segmented Longitudinal Optical Coherence Tomography Data of Macular Hole Surgery Outcomes
Published on (4 days ago)
This dataset contains a comprehensive collection of longitudinal Spectral-Domain Optical Coherence Tomography (SD-OCT) B-scans from patients who underwent surgery for idiopathic full-thickness macular hole (iFTMH). Unlike static datasets, this resource tracks retinal morphological changes from the preoperative baseline through six postoperative follow-up stages (up to 48 months), enabling research into retinal healing dynamics and surgical outcomes.
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Supplementary Material for: Association of localized retinal sensitivities with SD-OCT derived morphologic data in macular subfields in age-related macular degeneration
Published on (4 days ago)
Introduction This study investigated microperimetry-derived retinal sensitivity and OCT-based macular morphologic data in eyes with early and intermediate age-related macular degeneration. The respective metrics were compared between macular subfields and their associations were determined. Detailed knowledge of functional associations with morphology is an asset to future therapeutic trial design. Methods This is a cross-sectional analysis of microperimetry and SD-OCT baseline data. OCT data w
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Supplementary Material for: Association of localized retinal sensitivities with SD-OCT derived morphologic data in macular subfields in age-related macular degeneration
Published on (4 days ago)
Introduction This study investigated microperimetry-derived retinal sensitivity and OCT-based macular morphologic data in eyes with early and intermediate age-related macular degeneration. The respective metrics were compared between macular subfields and their associations were determined. Detailed knowledge of functional associations with morphology is an asset to future therapeutic trial design. Methods This is a cross-sectional analysis of microperimetry and SD-OCT baseline data. OCT data w
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Quantifying frequency content in cross-sectional retinal scans of diabetics vs. controls
Published on (4 days ago)
Purpose: To examine subtle differences in the structure of diabetic vs. control retinas. Methods: Spectral-domain optical coherence tomography (SD-OCT) images were compared for the retinas of 33 diabetic subjects who did not have clinical evidence of diabetic macular edema and age-matched controls, with central macular thicknesses of 275 and 276 microns, respectively. Cross-sectional retinal images through the fovea, called B-scans, were analyzed for spatial frequency content. The B-scans were
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MARIO: Monitoring Age-related Macular Degeneration Progression In Optical Coherence Tomography
Published on (4 days ago)
This dataset was created for the MARIO challenge, held as a satellite event of the MICCAI 2024 conference. Context Age-related Macular Degeneration (AMD) is a progressive degeneration of the macula, the central part of the retina, affecting nearly 196 million people worldwide. It can appear from the age of 50, and more frequently from the age of 65 onwards, causing a significant weakening of visual capacities, without destroying them. It is a complex and multifactorial pathology in which genet
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OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods
Published on (4 days ago)
Optical coherence tomography (OCT) is a non-invasive imaging technique that has extensive clinical applications in ophthalmology. OCT enables the visualization of the retinal layers, playing a vital role in the early detection and monitoring of retinal diseases. OCT uses the principle of light wave interference to create detailed images of the retinal microstructures, making it a valuable tool for diagnosing ocular conditions. Optical Coherence Tomography Dataset for Image-Based Deep Learning Me
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Replication Data for: Self-supervised contrastive learning improves machine learning discrimination of full thickness macular holes from epiretinal membranes in retinal OCT scans
Published on (4 days ago)
Compiled processed OCT scan data of FTMH+/- retinas for spatial contrastive learning using RaSCL.
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Automatic Segmentation of Retinal Layers in OCT Images With Intermediate Age-related Macular Degeneration Using U-Net and DexiNed
Published on (4 days ago)
Search code titled "Automatic Segmentation of Retinal Layers in OCT Images With Intermediate Age-related Macular Degeneration Using U-Net and DexiNed"
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Table 2_Retinal vessel metric analysis of type 1 diabetes mellitus in OCT angiography.docx
Published on (4 days ago)
PurposeTo investigate retinal vascular characteristics in type 1 diabetes mellitus (T1DM) patients at different stages via optical coherence tomography angiography (OCTA).DesignA retrospective observational study.Method63 T1DM patients (110 eyes) who underwent OCTA (3*3 mm) examination and 40 age-matched healthy individuals (79 eyes) were included. A deep learning model was used to segment the retinal arteries and veins on OCTA images, and the vascular metrics in the macular area, including frac
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Supplementary Material for: Macular Morphological Changes in Familial Exudative Vitreoretinopathy with Macular Traction on OCT
Published on (4 days ago)
Purpose: We aimed to report macular morphological changes observed on optical coherence tomography (OCT) in a child with familial exudative vitreoretinopathy (FEVR), experiencing macular traction caused by fibrovascular tissue (FT), who underwent vitrectomy. Observations: A seven-year-old girl presented with the chief complaint of decreased visual acuity in the left eye during a school examination. Fundus examination revealed retinal folds with FT extending from the peripheral retina to the post
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Supplementary Material for: Evaluation of an Artificial Intelligence-based Detector of Sub- and Intra-Retinal Fluid on a large set of OCT volumes in AMD and DME
Published on (4 days ago)
Abstract Introduction: In this retrospective cohort study, we wanted to evaluate the performance and analyze the insights of an artificial intelligence (AI) algorithm in detecting retinal fluid in spectral-domain OCT volume scans from a large cohort of patients with neovascular age-related macular degeneration (AMD) and diabetic macular edema (DME). Methods: A total of 3’981 OCT volumes from 374 patients with AMD and 11’501 OCT volumes from 811 patients with DME, acquired with Heidelberg Spectra
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OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods
Published on (4 days ago)
Optical coherence tomography (OCT) is a non-invasive imaging technique that has extensive clinical applications in ophthalmology. OCT enables the visualization of the retinal layers, playing a vital role in the early detection and monitoring of retinal diseases. OCT uses the principle of light wave interference to create detailed images of the retinal microstructures, making it a valuable tool for diagnosing ocular conditions. Optical Coherence Tomography Dataset for Image-Based Deep Learning Me
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Supplementary Material for: Correlation between Systemic Inflammation and Morphological Changes of Retinal Neurovascular Unit in Patients with Early Signs of Diabetic Retinopathy: An OCT and OCT-Angio
Published on (4 days ago)
Introduction:To investigate the correlation between systemic inflammation biomarkers and morphological changes of retinal neurovascular unit (RNVU) under optical coherence tomography (OCT) and OCT-angiography (OCTA) in type 2 diabetic patients with early signs of diabetic retinopathy (DR). Methods: This cross-sectional study was carried out among 93 type 2 diabetic patients with early signs of DR (170 eyes), ranging from level 10 to level 35 based on ETDRS DR severity scale score. Age-, sex-, a
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Erratum: Natural History of Idiopathic Epiretinal Membrane in Eyes with Good Vision Assessed by Spectral-Domain Optical Coherence Tomography
Published on (4 days ago)
Purpose: To investigate the natural history of idiopathic epiretinal membrane (ERM) in eyes with good visual function using optical coherence tomography (OCT). Methods: Sixty-two eyes of 58 patients with idiopathic ERM, visual acuity of 20/40 or better, and no significant metamorphopsia were included. The best corrected visual acuity (BCVA), central macular thickness (CMT), membrane configuration, and ellipsoid zone signal data over 24 months were retrospectively anal
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Supplementary Material for: Association between ectopic inner foveal layer on optical coherence tomography and postoperative quantitative metamorphopsia in patients undergoing epiretinal membrane surg
Published on (4 days ago)
Purpose: Epiretinal membrane (ERM) is a condition that can lead to visual impairment and meta-morphopsia. This study aimed to examine the correlation between metamorphopsia and foveal mi-crostructure before and after macular surgery in a cohort of patients with advanced ERM. Methods: The severity of metamorphopsia was quantified using M-CHARTS, and foveal micro-structure was evaluated via two optical coherence tomography (OCT) measures: central foveal thickness (CFT) and ectopic inner foveal la
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Supplementary Material for: Bacillary layer detachment in diabetic retinopathy: a case report
Published on (4 days ago)
To our knowledge, this is the first report to describe bacillary layer detachment (BLD) in a patient with diabetic retinopathy treated with anti-vascular endothelial growth factor (anti-VEGF). We present a case of a 55-year-old diabetic female who was referred to our hospital complaining of decreased vision in her left eye for 2 weeks. Fundus examination of both eyes was compatible with diabetic retinopathy. Spectral-domain optical coherence tomography (SD-OCT) of the left eye showed a large dom
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Supplementary Material for: A Combined Index of Steady-state Pattern Electroretinogram and Optical Coherence Tomography improved the Detection of Early Glaucoma
Published on (4 days ago)
Introduction: To evaluate the structure-function relationship between steady-state pattern electroretinogram (ssPERG), optical coherence tomography (OCT), and visual field (VF) tests, and to investigate indicators that enhance the detection of preperimetric and early-stage primary open angle glaucoma (POAG). Methods: In this retrospective cohort study, patients with POAG and normal subjects who underwent ssPERG, OCT, and VF tests were included. We defined the ratio of the amplitudes from 0.8° ch
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Data for: Improved accuracy in OCT diagnosis of rare retinal disease using few-shot learning with generative adversarial networks
Published on (4 days ago)
The retinal OCT images ofr rare diseases were extracted by using the Google image and Google dataset search that included English keywords including central serous chorioretinopathy (CSC), macular telangiectasia (MacTel), macular hole (MH), Stargardt disease, retinitis pigmentosa (RP). These rare diseases were selected according to a previous review article about OCT diagnosis. The images possessing rare diseases were manually classified by two board-certified ophthalmologists, and ambiguous ima
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Supplementary Material for: Evaluating Dissociated Optic Nerve Fiber Layer Appearance Using En Face Layer Imaging Produced by Optical Coherence Tomography
Published on (4 days ago)
Purpose: To investigate the incidence of and risk factors for a dissociated optic nerve fiber layer (DONFL) appearance after pars plana vitrectomy (PPV). Methods: We retrospectively reviewed 189 eyes that underwent PPV with internal limiting membrane removal and judged the presence/absence of an apparent DONFL based on en face layer images produced by spectral-domain optical coherence tomography (SD-OCT). Results: An apparent DONFL was observed in 47 (24
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Retinal plasticity in age-related macular degeneration
Published on (4 days ago)
The goal of this particular study is to construct a realistic physical model of viscoelastic retinal stretching and, on its basis, derive a universal quantitative criterion of irreversible retinal deformations during Age-related macular degeneration (AMD). In this work, standard methods of nonlinear fracture mechanics of ductile and viscoelastic materials were applied to study the evolution of retinal deformation progress in patients with neovascular AMD in the area of large druses or subretinal
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A Composite Retinal Fundus and OCT Dataset with Detailed Clinical Markings of Retinal Layers and Retinal Lesions to Grade Macular and Glaucomatous Disorders
Published on (4 days ago)
This repository contains composite retinal fundus and OCT dataset for analyzing retinal layers, retinal lesions, and to diagnose normal and abnormal retinal diseases like Centrally Involved Diabetic Macular Edema, Acute Central Serous Retinopathy (CSR), Chronic CSR, Geographic Age-related Macular Degeneration (AMD), Neovascular AMD, and Glaucoma. Please cite the following papers if you want to use any part of this dataset: 1) T. Hassan, M. U. Akram, M. F. Masood, U. Yasin, “Deep structure tens
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Replication Data for: Optical coherence tomography analysis at initial diagnosis in patients with retinitis pigmentosa and associated cystoid macular edema
Published on (4 days ago)
This data set includes optical coherence tomography (OCT) findings in 130 eyes of 130 patients with retinitis pigmentosa (RP) at initial diagnosis, including 42 with cystoid macular edema (CME) and 88 without, between September 2016 and March 2024.
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Multimodal SLO-OCT ophthalmic imaging dataset
Published on (4 days ago)
<div class="dataset-summary"> <h2>Multimodal Ophthalmic Imaging Dataset</h2> The code for our paper is at code.zip, code.z01, ..., code.z07. The dataset is at datazet.zip, dataset.z01, ..., dataset.z205. The labels are at the labels folder. <div class="modalities-section"> <h3>Modalities</h3> <ul> <li>2D SLO images (Scanning Laser Ophthalmoscopy)</li> <li>3D OCT volumes: <ul> <li>Macular-centered OCT (OCT<sub&
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Supplementary Material for: Correlation between Systemic Inflammation and Morphological Changes of Retinal Neurovascular Unit in Patients with Early Signs of Diabetic Retinopathy: An OCT and OCT-Angio
Published on (4 days ago)
Introduction:To investigate the correlation between systemic inflammation biomarkers and morphological changes of retinal neurovascular unit (RNVU) under optical coherence tomography (OCT) and OCT-angiography (OCTA) in type 2 diabetic patients with early signs of diabetic retinopathy (DR). Methods: This cross-sectional study was carried out among 93 type 2 diabetic patients with early signs of DR (170 eyes), ranging from level 10 to level 35 based on ETDRS DR severity scale score. Age-, sex-, a
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Supporting data for "Application of Retinal-nerve-fiber-layer Optical Texture Analysis (ROTA) in Glaucoma"
Published on (4 days ago)
Glaucoma is the leading cause of irreversible blindness characterised by chronic degeneration of retinal ganglion cells (RGCs). However, the diagnosis and monitoring of glaucoma is sometimes challenging, especially in late stages of disease. Retinal-nerve-fiber-layer optical texture analysis (ROTA) is an algorithm that combines the thickness and reflectance measurements of RNFL obtained from OCT scans, uncovering the trajectory and optical texture of the axonal fiber bundles across the retina. V
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Table 4_Retinal vessel metric analysis of type 1 diabetes mellitus in OCT angiography.docx
Published on (4 days ago)
PurposeTo investigate retinal vascular characteristics in type 1 diabetes mellitus (T1DM) patients at different stages via optical coherence tomography angiography (OCTA).DesignA retrospective observational study.Method63 T1DM patients (110 eyes) who underwent OCTA (3*3 mm) examination and 40 age-matched healthy individuals (79 eyes) were included. A deep learning model was used to segment the retinal arteries and veins on OCTA images, and the vascular metrics in the macular area, including frac
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Supporting data for "Application of Retinal-nerve-fiber-layer Optical Texture Analysis (ROTA) in Glaucoma"
Published on (4 days ago)
Glaucoma is the leading cause of irreversible blindness characterised by chronic degeneration of retinal ganglion cells (RGCs). However, the diagnosis and monitoring of glaucoma is sometimes challenging, especially in late stages of disease. Retinal-nerve-fiber-layer optical texture analysis (ROTA) is an algorithm that combines the thickness and reflectance measurements of RNFL obtained from OCT scans, uncovering the trajectory and optical texture of the axonal fiber bundles across the retina. V
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Supplementary Material for: Reference Database of Inner Retinal Layer Thickness and Thickness Asymmetry In Healthy Thai Adults as Measured by The Spectralis Spectral-Domain Optical Coherence Tomograph
Published on (4 days ago)
Purpose: To determine a reference database of the thickness and intraocular thickness asymmetry of total retina, retinal nerve fiber layer (RNFL), ganglion cell layer (GCL), and inner plexiform layer (IPL) in healthy Thai subjects measured by the Spectralis spectral-domain optical coherence tomography Methods: This cross-sectional study recruited the healthy subjects age ≥18 years, having spherical refraction within ±6 diopters and cylindrical refraction ±3 diopters, from a hospital’s personnel
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Supplementary Material for: Reference Database of Inner Retinal Layer Thickness and Thickness Asymmetry In Healthy Thai Adults as Measured by The Spectralis Spectral-Domain Optical Coherence Tomograph
Published on (4 days ago)
Purpose: To determine a reference database of the thickness and intraocular thickness asymmetry of total retina, retinal nerve fiber layer (RNFL), ganglion cell layer (GCL), and inner plexiform layer (IPL) in healthy Thai subjects measured by the Spectralis spectral-domain optical coherence tomography Methods: This cross-sectional study recruited the healthy subjects age ≥18 years, having spherical refraction within ±6 diopters and cylindrical refraction ±3 diopters, from a hospital’s personnel
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Cognitive performance of primary open-angle glaucoma and normal-tension glaucoma patients
Published on (4 days ago)
ABSTRACT Purpose: To assess cognitive performance differences among primary open-angle glaucoma (POAG) patients, normal-tension glaucoma (NTG) patients, and healthy control (C) subjects. Methods: A total of 60 participants (20 POAG, 20 NTG, and 20 C subjects) were included in this study. A detailed ophthalmologic examination was performed on all participants. A spectral domain-optical coherence tomography (SD-OCT) system was used to measure the ganglion cell-inner plexiform layer (GC-IPL) and re
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Evaluation of choroidal thickness and retinal nerve fiber layer thickness in patients with unilateral amblyopia: a prospective study
Published on (4 days ago)
ABSTRACT Purpose: to compare the Subfoveal choroidal thickness (SFCT) and Retinal Nerve Fiber Layer Thickness (RNFL) of amblyopic and normal fellow eyes. Design: Prospective, cross-sectional, observational case series. Methods: Forty patients age 12 to 41 years (mean 23.73 ± 6.42) with unilateral amblyopia were studied. Among them, 11(28.2%) patients had amblyopia secondary to strabismus and 29(71.8 %) had anisometropic amblyopia. Optical coherence tomography (OCT) of the peripapillary RNFL thic
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Evaluation of choroidal thickness and retinal nerve fiber layer thickness in patients with unilateral amblyopia: a prospective study
Published on (4 days ago)
ABSTRACT Purpose: to compare the Subfoveal choroidal thickness (SFCT) and Retinal Nerve Fiber Layer Thickness (RNFL) of amblyopic and normal fellow eyes. Design: Prospective, cross-sectional, observational case series. Methods: Forty patients age 12 to 41 years (mean 23.73 ± 6.42) with unilateral amblyopia were studied. Among them, 11(28.2%) patients had amblyopia secondary to strabismus and 29(71.8 %) had anisometropic amblyopia. Optical coherence tomography (OCT) of the peripapillary RNFL thic
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Optical coherence tomography findings in bipolar disorder: a preliminary receiver operating characteristic analysis on ganglion cell layer volume for diagnosis
Published on (4 days ago)
Abstract Background Optical coherence tomography (OCT) has been recently used to investigate neuropsychiatric disorders. Objective The aim of this study was to compare the retinal nerve fiber layer thickness (RNFLT) and the ganglion cell layer (GCL) volume in patients with type 1 bipolar disorder (BPD1, diagnosed according to DSM 5) to the values in healthy controls. Methods Eighty consecutive outpatients with a diagnosis of euthymic BPD1 and 80 healthy controls were enrolled in the study. Follo
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Optical coherence tomography findings in bipolar disorder: a preliminary receiver operating characteristic analysis on ganglion cell layer volume for diagnosis
Published on (4 days ago)
Abstract Background Optical coherence tomography (OCT) has been recently used to investigate neuropsychiatric disorders. Objective The aim of this study was to compare the retinal nerve fiber layer thickness (RNFLT) and the ganglion cell layer (GCL) volume in patients with type 1 bipolar disorder (BPD1, diagnosed according to DSM 5) to the values in healthy controls. Methods Eighty consecutive outpatients with a diagnosis of euthymic BPD1 and 80 healthy controls were enrolled in the study. Follo
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Retinal nerve fiber layer, ganglion cell complex, and choroidal thicknesses in migraine
Published on (4 days ago)
ABSTRACT Purpose: To evaluate the thicknesses of the peripapillary retinal nerve fiber layer (RNFL), ganglion cell complex (GCL), and choroid layer using spectral domain optical coherence tomography (SD-OCT) for investigating the effects of vascular changes on the eye and optic nerve in patients who have migraine with aura. Methods: Forty-five patients who had migraine with aura (migraine group) and 45 healthy individuals (control group) were enrolled in the study. Age, gender, duration after mi
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Retinal nerve fiber layer, ganglion cell complex, and choroidal thicknesses in migraine
Published on (4 days ago)
ABSTRACT Purpose: To evaluate the thicknesses of the peripapillary retinal nerve fiber layer (RNFL), ganglion cell complex (GCL), and choroid layer using spectral domain optical coherence tomography (SD-OCT) for investigating the effects of vascular changes on the eye and optic nerve in patients who have migraine with aura. Methods: Forty-five patients who had migraine with aura (migraine group) and 45 healthy individuals (control group) were enrolled in the study. Age, gender, duration after mi
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Cognitive performance of primary open-angle glaucoma and normal-tension glaucoma patients
Published on (4 days ago)
ABSTRACT Purpose: To assess cognitive performance differences among primary open-angle glaucoma (POAG) patients, normal-tension glaucoma (NTG) patients, and healthy control (C) subjects. Methods: A total of 60 participants (20 POAG, 20 NTG, and 20 C subjects) were included in this study. A detailed ophthalmologic examination was performed on all participants. A spectral domain-optical coherence tomography (SD-OCT) system was used to measure the ganglion cell-inner plexiform layer (GC-IPL) and re
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2PFM dataset from MaskVSC
Published on (4 days ago)
Two-photon fluorescence microscopy (2PFM) data, which corresponding to our paper "Masked Vascular-structure Segmentation and Completion in Retinal Images".The 2PFM data was acquired from ex-vivo rat retinas, where the rat was perfused with fluorescein-conjugated albumin and gelatin, and the retina was harvested and imaged with a custom-built 2PFM using a 16×, 0.8 numerical aperture objective. The annotation of retinal blood vessels, manually traced by a professional ophthalmologist in the raw im
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Mean (μ) width with standard deviations (σ) of vessel segments reported for the two datasets; FOREVERP and UK Biobank.
Published on (4 days ago)
μ (σ) listed for the following vessel types: normal, central reflex, low contrast/uneven illumination, and an average of all vessel profiles. Additional category of normal and central reflex for UK Biobank only.
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Influence of sleep quality on macula and retinal nerve fiber layer in caucasian healthy adolescents: A cross-sectional assessment with optical coherence tomography
Published on (4 days ago)
Abstract Objective: Poor sleep quality have affect on neuronal structure in central nervous system. We aimed to investigate the effects of sleep quality on the thickness of retinal nerve fiber layer (RNFL), macula, and ganglion cell complex (GCC) obtained by optical coherence tomography (OCT) in healthy Caucasian adolescents. Methods: In this prospective cross-sectional study,100 healthy adolescents were evaluated for determining of sleep quality score by the Pittsburgh sleep quality index(PSQI)
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Influence of sleep quality on macula and retinal nerve fiber layer in caucasian healthy adolescents: A cross-sectional assessment with optical coherence tomography
Published on (4 days ago)
Abstract Objective: Poor sleep quality have affect on neuronal structure in central nervous system. We aimed to investigate the effects of sleep quality on the thickness of retinal nerve fiber layer (RNFL), macula, and ganglion cell complex (GCC) obtained by optical coherence tomography (OCT) in healthy Caucasian adolescents. Methods: In this prospective cross-sectional study,100 healthy adolescents were evaluated for determining of sleep quality score by the Pittsburgh sleep quality index(PSQI)
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Supplemental Figures
Published on (4 days ago)
Supplemental Figure 1: Sensitivity of OCT calculated by two methods. Sensitivity of OCT in detecting prior optic neuritis by using a thickness ≤1st percentile of age-matched controls in the Zeiss database (blue bars). Sensitivity of OCT in detecting prior optic neuritis by using a 99th percentile intereye difference threshold of ≥9 µm in RNFL, ≥6 µm in GCIPL, or either thicknesses as a threshold (red bars). Supplemental Figure 2: Comparison of intereye RNFL and GCIPL differences. The 99th inte
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Evolution of optic nerve and retina alterations in a child with indirect traumatic neuropathy as assessed by optical coherence tomography
Published on (4 days ago)
ABSTRACT Herein, we describe the case of a 4-year-old child with indirect traumatic optic neuropathy and serial changes of the optic nerve head and retinal nerve fiber layer (RNFL) documented using optical coherence tomography (OCT). Visual acuity improved despite progressive RNFL thinning and optic disc pallor. We concluded that OCT may be useful for monitoring axonal loss but may not predict the final visual outcome.
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Evolution of optic nerve and retina alterations in a child with indirect traumatic neuropathy as assessed by optical coherence tomography
Published on (4 days ago)
ABSTRACT Herein, we describe the case of a 4-year-old child with indirect traumatic optic neuropathy and serial changes of the optic nerve head and retinal nerve fiber layer (RNFL) documented using optical coherence tomography (OCT). Visual acuity improved despite progressive RNFL thinning and optic disc pallor. We concluded that OCT may be useful for monitoring axonal loss but may not predict the final visual outcome.
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The performance of QUARTZ on the two datasets FOREVERP and UK Biobank.
Published on (4 days ago)
Performance evaluated on the following parameters: Vessel segmentation, arteriole, and venule classification. Performance parameters are addressed as sensitivity, specificity, and accuracy. Vessel segmentation reported with and without pre/postprocessing. Arteriole and venule classification reported per pixel and per segment.
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Minimal dataset for "Cellular-resolution OCT reveals layer-specific retinal mosaics and ganglion cell degeneration in mouse retina in vivo"
Published on (4 days ago)
This dataset provides the minimal data underlying the findings of the manuscript submitted to Neurophotonics:Cellular-resolution OCT reveals layer-specific retinal mosaics and ganglion cell degeneration in mouse retina in vivo. Contents include: - Data_Summary.xlsx: raw numerical values supporting Figures (image quality metrics, speckle contrast, SSIM, cross-correlation, RGC soma counts, GCC thickness). - Figures folder: original figure panels in TIFF format and a supplementary movie (MPEG).
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Data from: The Moorfields AMD database report 2 - fellow eye involvement with neovascular age-related macular degeneration
Published on (4 days ago)
Background/Aims: Neovascular age-related macular degeneration (nAMD) is frequently bilateral, and previous reports on ‘fellow eyes’’ have assumed sequential treatment after a period of treatment of the first eye only. The aim of our study was to analyse baseline characteristics and visual acuity (VA) outcomes of fellow eye involvement with nAMD, specifically differentiating between sequential and non-sequential (due to macular scarring in the first eye) anti-vascular endothelial growth fac
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Applications of visual evoked potentials and Fourier-domain optical coherence tomography in Parkinson's disease: a controlled study
Published on (4 days ago)
Purpose: The goal of this cross-sectional observational study was to quantify the pattern-shift visual evoked potentials (VEP) and the thickness as well as the volume of retinal layers using optical coherence tomography (OCT) across a cohort of Parkinson's disease (PD) patients and age-matched controls. Methods: Forty-three PD patients and 38 controls were enrolled. All participants underwent a detailed neurological and ophthalmologic evaluation. Idiopathic PD cases were included. Cases with gla
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Applications of visual evoked potentials and Fourier-domain optical coherence tomography in Parkinson's disease: a controlled study
Published on (4 days ago)
Purpose: The goal of this cross-sectional observational study was to quantify the pattern-shift visual evoked potentials (VEP) and the thickness as well as the volume of retinal layers using optical coherence tomography (OCT) across a cohort of Parkinson's disease (PD) patients and age-matched controls. Methods: Forty-three PD patients and 38 controls were enrolled. All participants underwent a detailed neurological and ophthalmologic evaluation. Idiopathic PD cases were included. Cases with gla
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Evaluation of peripapillary choroidal and retinal nerve fiber layer thickness in eyes with tilted optic disc
Published on (4 days ago)
Purpose: This study was performed to evaluate the retinal nerve fiber layer (RNFL) and peripapillary choroidal thickness in eyes with tilted optic disc in order to identify characteristic RNFL and peripapillary choroid patterns verified by optical coherence tomography (OCT). Methods: Twenty-nine eyes of 29 patients with tilted optic discs were studied with spectral-domain (SD)-OCT and compared with age and sex-matched control subjects in a prospective design. The imaging of RNFL was performed us
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Evaluation of peripapillary choroidal and retinal nerve fiber layer thickness in eyes with tilted optic disc
Published on (4 days ago)
Purpose: This study was performed to evaluate the retinal nerve fiber layer (RNFL) and peripapillary choroidal thickness in eyes with tilted optic disc in order to identify characteristic RNFL and peripapillary choroid patterns verified by optical coherence tomography (OCT). Methods: Twenty-nine eyes of 29 patients with tilted optic discs were studied with spectral-domain (SD)-OCT and compared with age and sex-matched control subjects in a prospective design. The imaging of RNFL was performed us
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Machine learning for retinal health classification of optical coherence tomography images
Published on (4 days ago)
Optical Coherence Tomography (OCT) is an essential imaging technique for diagnosing retinal diseases. While deep learning models offer high accuracy for automated OCT classification, their “black-box” nature limits clinical trust and adoption. Conversely, traditional machine learning methods are more interpretable but often depend on features that can be difficult to extract or are sensitive to image quality. This thesis presents two complementary studies to develop an accurate and interpretable
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Matlab_Code_Retinalayer_Analysis
Published on (4 days ago)
The first MATLAB script provides a semi-automated method for measuring **retinal ganglion cell (RGC) layer thickness** and **whole retina thickness** from retinal images. The workflow combines user-guided region-of-interest (ROI) selection with intensity-profile–based landmark identification to enable anatomically informed thickness measurements. The script is intended for research use in retinal imaging studies where manual anatomical verification is preferred over fully automated segmentation.
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Automated Quantification of Macular Perfusion in Behçet’s Uveitis Using Optical Coherence Tomography Angiography
Published on (4 days ago)
This study created an algorithm to quantify the vascular density of the capillary, non-capillary, and total vessels in deep and superficial layers of retina by using optical coherence tomography angiography (OCT-A) on Behçet’s Uveitis (BU) patients to assess the severity and prognosis of BU to help clinicians.
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Demographic data, clinical data, and biomechanical strain data for glaucoma patients imaged by SD-OCT before and after laser suturelysis.
Published on (4 days ago)
Demographic data, clinical data, and biomechanical strain data for glaucoma patients imaged by SD-OCT before and after laser suturelysis. The data include:1) The CSV file contains a list of data labels, clinical data, and biomechanical strains from DVC analysis of SD-OCT images.2) The tables in DataTables present average biomechanical data and statistical comparisons.3) The Supplemental information associated with the manuscript4) Matlab files (.mat) contain the strain outcomes averaged over the
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Demographic data, clinical data, and biomechanical strain data for glaucoma patients imaged by SD-OCT before and after laser suturelysis.
Published on (4 days ago)
Demographic data, clinical data, and biomechanical strain data for glaucoma patients imaged by SD-OCT before and after laser suturelysis. The data include:1) The CSV file contains a list of data labels, clinical data, and biomechanical strains from DVC analysis of SD-OCT images.2) The tables in DataTables present average biomechanical data and statistical comparisons.3) The Supplemental information associated with the manuscript4) Matlab files (.mat) contain the strain outcomes averaged over the
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Eye labels, de-identified demographic data, clinical data, and summarized biomechanical strain data for glaucoma patients imaged by SD-OCT before and after laser suturelysis.
Published on (4 days ago)
Eye labels, de-identified demographic data, clinical data, and summarized biomechanical strain data for glaucoma patients imaged by SD-OCT before and after laser suturelysis. The data include:1) The Excel files contain a list of eye labels, de-identified demographic data, and clinical data for subjects of the goggle-wearing study.2) Matlab files (.mat) contain the strain outcomes averaged over the tissues of the ONH. The strains are calculated from digital volume correlation of the OCT-image vol
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Eye labels, de-identified demographic data, clinical data, and summarized biomechanical strain data for glaucoma patients imaged by SD-OCT before and after laser suturelysis.
Published on (4 days ago)
Eye labels, de-identified demographic data, clinical data, and summarized biomechanical strain data for glaucoma patients imaged by SD-OCT before and after laser suturelysis. The data include:1) The Excel files contain a list of eye labels, de-identified demographic data, and clinical data for subjects of the goggle-wearing study.2) Matlab files (.mat) contain the strain outcomes averaged over the tissues of the ONH. The strains are calculated from digital volume correlation of the OCT-image vol
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CAVRI-C: Vessels segmentation from OCT 3D scans
Published on (4 days ago)
This database contains 24 3D optical coherence tomography (OCT) scans of 24 healthy subjects, with an average age of 27. The images were collected using the Avanti RTvue device with a 3D Retina scanning protocol (volumetric scan with 141 cross-sections). This dataset also contains manually segmented retina vessels for the OCT-reconstructed fundus images. This dataset was created as part of research conducted within the CAVRI (Computer Analysis of the VitreoRetinal Interface) project (https://ds
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CAVRI-C: Vessels segmentation from OCT 3D scans
Published on (4 days ago)
This database contains 24 3D optical coherence tomography (OCT) scans of 24 healthy subjects, with an average age of 27. The images were collected using the Avanti RTvue device with a 3D Retina scanning protocol (volumetric scan with 141 cross-sections). This dataset also contains manually segmented retina vessels for the OCT-reconstructed fundus images. This dataset was created as part of research conducted within the CAVRI (Computer Analysis of the VitreoRetinal Interface) project (https://ds
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OCTAVE Dataset: Optical Coherence Tomography Annotated Volume Experiment
Published on (4 days ago)
This is a large dataset of OCT 3D image volumes and pixel-level segmentation labels for the development of an deep learning model to autonomously detect and identify anatomic and pathological features of the retina. This project was described in the paper: “Identifying Retinal Features Using a Self‑Configuring CNN for Clinical Intervention”Daniel S. Kermany, Wesley Poon, Anaya Bawiskar, Natasha Nehra, Orhun Davarci, Glori Das, Matthew Vasquez, Shlomit Schaal, Raksha Raghunathan & Stephen T. C.
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Supplementary Material for: Diagnostic Evaluation of Ocular Toxocariasis Using High-Penetration Optical Coherence Tomography
Published on (4 days ago)
Purpose: To study a case with intraretinal Toxocara larvae in a granuloma using high-penetration optical coherence tomography (HP-OCT). Methods: A 50-year-old man, who was referred to our clinic with ocular toxocariasis, initially presented with granuloma formation in the retina. We followed the treatment-associated changes in the toxocariasis lesion by a series of examinations using HP-OCT before and after a systemic corticosteroid and anthelmintic therapy.
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Supplementary Material for: A case of epiretinal membrane masquerading as foveal hypoplasia uncovered by optical coherence tomography angiography
Published on (4 days ago)
Introduction This case report describes a patient whose misdiagnosis of foveal hypoplasia was uncovered by optical coherence tomography angiography (OCTA) findings that suggested the presence of an Epiretinal membrane (ERM) over foveal hypoplasia. Case Presentation A 67-year-old man with no significant past medical history was referred to our retina clinic with a diagnosis of foveal hypoplasia. He had been experiencing significant vision loss for more than one year. OCT demonstrated absence of
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Supplementary Material for: A case of epiretinal membrane masquerading as foveal hypoplasia uncovered by optical coherence tomography angiography
Published on (4 days ago)
Introduction This case report describes a patient whose misdiagnosis of foveal hypoplasia was uncovered by optical coherence tomography angiography (OCTA) findings that suggested the presence of an Epiretinal membrane (ERM) over foveal hypoplasia. Case Presentation A 67-year-old man with no significant past medical history was referred to our retina clinic with a diagnosis of foveal hypoplasia. He had been experiencing significant vision loss for more than one year. OCT demonstrated absence of
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Spatio-Temporal Optical Coherence Tomography provides full thickness imaging of the chorioretinal complex
Published on (4 days ago)
Despite the rapid development of optical imaging methods, high-resolution in vivo imaging with penetration into deeper tissue layers is still a major challenge. Optical Coherence Tomography (OCT) has been used successfully for non-invasive human retinal volumetric imaging in vivo , advancing the detection, diagnosis, and monitoring of various retinal diseases. However, there are important limitations of volumetric OCT imaging, especially coherent noise and the limited axial range over which high
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Supplementary Material for: Monitoring Delayed Toxoplasmosis-Related Branch Retinal Artery Occlusion Using Widefield En Face Optical Coherence Tomography and Multimodal Imaging
Published on (4 days ago)
Ocular toxoplasmosis has a known, rare association with acute retinal artery occlusion (RAO). We describe a 21-year old male who presented with acute focal toxoplasmosis chorioretinitis in the right eye treated with intravitreal clindamycin, intravitreal dexamethasone, and adjunct oral therapy for vision-threatening retinitis with subsequent quiescence. Nine months from his initial presentation, the patient presented with a branch RAO adjacent to an inactive retinal scar in the right eye. Widefi
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Supplementary Material for: Evolution of Retinitis to Macular Hole and Closure: OCT Insights into an Unusual Course of Ocular Toxoplasmosis
Published on (4 days ago)
Introduction: To describe the distinctive optical coherence tomography (OCT) characteristics and the underlying mechanisms leading to the uncommon occurrence of macular hole (MH) development in ocular toxoplasmosis. Case Presentation: A 13-year-old girl with a history of bilateral ocular toxoplasmosis presented with newly onset floaters and a progressive loss of vision in her right eye. Examination revealed macular chorioretinal scars in both eyes. Foveal area in the right eye also revealed s
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Supplementary Material for: Characterization of Initial Stages of Diabetic Macular Edema
Published on (4 days ago)
Purpose: This study is aimed at characterizing the type of retinal edema in the initial stages of retinopathy in type 2 diabetes. Methods: In this retrospective cross-sectional study, spectral domain optical coherence tomography (OCT) layer by layer analysis of the retina in association with OCT-Leakage, an algorithm to detect sites of low optical reflectivity, were used to examine eyes with minimal, mild, and moderate diabetic retinopathy (DR). Results:
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Arteriole and venule classification.
Published on (4 days ago)
Sensitivity of arteriole and venule classification and the arteriole/venule accuracy of the FOREVERP dataset reported for the following thresholds: >0.5, >0.6, >0.7, >0.8, >0.9. The fraction of data retained for every threshold is reported alongside the performance parameters.
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Supplementary Material for: Macular Morphological Changes in Familial Exudative Vitreoretinopathy with Macular Traction on OCT
Published on (4 days ago)
Purpose: We aimed to report macular morphological changes observed on optical coherence tomography (OCT) in a child with familial exudative vitreoretinopathy (FEVR), experiencing macular traction caused by fibrovascular tissue (FT), who underwent vitrectomy. Observations: A seven-year-old girl presented with the chief complaint of decreased visual acuity in the left eye during a school examination. Fundus examination revealed retinal folds with FT extending from the peripheral retina to the post
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OCT Images Dataset
Published on (4 days ago)
Description: Retinal Optical Coherence Tomography (OCT): OCT Images Dataset is a non-invasive imaging technique that generates high-resolution cross-sectional images of the retina. This method is critical for diagnosing and monitoring retinal conditions by allowing clinicians to examine the internal structure of the retina in great detail. According to estimates, around 30 million OCT scans are conducted annually worldwide, underscoring the importance of efficient analysis and in
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Supplementary Material for: Evolution of Retinitis to Macular Hole and Closure: OCT Insights into an Unusual Course of Ocular Toxoplasmosis
Published on (4 days ago)
Introduction: To describe the distinctive optical coherence tomography (OCT) characteristics and the underlying mechanisms leading to the uncommon occurrence of macular hole (MH) development in ocular toxoplasmosis. Case Presentation: A 13-year-old girl with a history of bilateral ocular toxoplasmosis presented with newly onset floaters and a progressive loss of vision in her right eye. Examination revealed macular chorioretinal scars in both eyes. Foveal area in the right eye also revealed s
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Supplementary Material for: A Case of Concomitant Acute Zonal Occult Outer Retinopathy and Secondary Nonparaneoplastic Autoimmune Retinopathy
Published on (4 days ago)
Introduction: Acute Zonal Occult Outer Retinopathy (AZOOR) is a rare inflammatory retinal disease with rapid outer retinal function loss, photopsias, unremarkable fundus findings, and electroretinography (ERG) abnormalities. AZOOR diagnosis can be challenging due to its overlap with other retinal conditions, such as acute idiopathic blind spot enlargement syndrome (AIBES) and autoimmune retinopathies (AIRs). Multimodal imaging, including fundus autofluorescence (FAF) and optical coherence tomogr
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OCTA-SVR-100K
Published on (4 days ago)
OCTA-100K-SVR is a large-scale synthetic dataset designed for training and evaluating Vision-Language Models (VLMs) on Optical Coherence Tomography Angiography (OCTA) analysis, particularly for explainable diabetic retinopathy (DR) staging. The dataset contains 100,000 pairs of synthetic OCTA images and structured reasoning texts, generated through a pathology-aware simulation pipeline.
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OCTA-SVR-100K
Published on (4 days ago)
OCTA-100K-SVR is a large-scale synthetic dataset designed for training and evaluating Vision-Language Models (VLMs) on Optical Coherence Tomography Angiography (OCTA) analysis, particularly for explainable diabetic retinopathy (DR) staging. The dataset contains 100,000 pairs of synthetic OCTA images and structured reasoning texts, generated through a pathology-aware simulation pipeline.
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DS3
Published on (4 days ago)
A dataset of retinal images for the classification of diabetic retinopathy and age-related macular degeneration.
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Arteriole and venule classification performed by QUARTZ on the FOREVERP dataset.
Published on (4 days ago)
Performance evaluated in terms of sensitivity, specificity, and accuracy per pixels and per vessel segments.
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Supplementary Material for: A Case of Concomitant Acute Zonal Occult Outer Retinopathy and Secondary Nonparaneoplastic Autoimmune Retinopathy
Published on (4 days ago)
Introduction: Acute Zonal Occult Outer Retinopathy (AZOOR) is a rare inflammatory retinal disease with rapid outer retinal function loss, photopsias, unremarkable fundus findings, and electroretinography (ERG) abnormalities. AZOOR diagnosis can be challenging due to its overlap with other retinal conditions, such as acute idiopathic blind spot enlargement syndrome (AIBES) and autoimmune retinopathies (AIRs). Multimodal imaging, including fundus autofluorescence (FAF) and optical coherence tomogr
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VIDEO COLOR OCT ANGIOGRAPHY FOR MYOPIC CHOROIDAL NEOVASCULARIZATION
Published on (4 days ago)
Purpose: To investigate the myopic macular neovascularization (mMNV) features on dynamic video-color optical coherence tomography (OCT) angiography (OCTA) and the diagnostic rate versus the static, four-segmentations visualization mode. Design: Retrospective cohort study PARTICIPANTS: Fifty-four patients with mMNV METHODS: Sixty-two eyes with high myopia complicated by mMNV were included. Clinical charts, fluorescein angiography and structural OCT were used as standard reference to assess lesio
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VIDEO COLOR OCT ANGIOGRAPHY FOR MYOPIC CHOROIDAL NEOVASCULARIZATION
Published on (4 days ago)
Purpose: To investigate the myopic macular neovascularization (mMNV) features on dynamic video-color optical coherence tomography (OCT) angiography (OCTA) and the diagnostic rate versus the static, four-segmentations visualization mode. Design: Retrospective cohort study PARTICIPANTS: Fifty-four patients with mMNV METHODS: Sixty-two eyes with high myopia complicated by mMNV were included. Clinical charts, fluorescein angiography and structural OCT were used as standard reference to assess lesio
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Photodynamic Ocular Drug Delivery System with Optical Coherence Tomography Oriented Microscale Robots
Published on (4 days ago)
Retinal diseases are the most common reason for irreversible blindness worldwide. Common retinal diseases, such as diabetic retinopathy, macular degeneration, retinal vein occlusion, and non-infectious uveitis, mostly require intravitreal steroid injections in clinical management. Unfortunately, intravitreal steroid injections lead to other important ocular problems, such as elevation of intraocular pressure, intravitreal infections, and the progression of cataracts. Because of these reasons, ta
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Pre-screening of healthy retinal using geometrical features extracted from OCT retinal images
Published on (4 days ago)
Optical Coherence Tomography (OCT) retinal imaging is essential in ophthalmology for the diagnosis of eye diseases. To date, identifying healthy OCT retinal images can be challenging due to the large volume of images but limited time for ophthalmologists. In this study, we developed a classification technique that differentiates between healthy and unhealthy OCT images of the retina. We applied the Standard Deviation Profiling (SDP) method that can accurately detect the inner limiting membrane (
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Supplementary Material for: The Progression of Stargardt Disease (ProgStar) as determined by spectral-domain optical coherence tomography over a 24-month period (ProgStar Report No. 19)
Published on (4 days ago)
Introduction: To evaluate the progression of atrophy as determined by spectral-domain optical coherence tomography (SD-OCT) in patients with molecularly confirmed ABCA4-associated Stargardt disease type 1 (STGD1) over a 24-month period in a multicenter prospective cohort study. Methods: SD-OCT images from 428 eyes of 236 patients were analyzed. Change of mean thickness (MT) and intact area were estimated after semi-automated segmentation for the following individual layers in the central subfiel
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Swept-source optical coherence tomography detects anterior-chamber changes in patients with angle-closure after laser peripheral iridotomy
Published on (4 days ago)
ABSTRACT Purpose: This study aimed to compare an teriorchamber parameters acquired by a swept-source anteriorsegment optical coherence tomography before and after laser peripheral iridotomy. Methods: This study prospectively evaluated 14 patients with primary-angle closure and six patients with primary-angle closure glaucoma. Gonioscopy and anterior-segment optical coherence tomography using the DRI OCT Triton® were performed before and after laser peripheral iridotomy. Anterior-segment optical
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Supplementary Material for: The Progression of Stargardt Disease (ProgStar) as determined by spectral-domain optical coherence tomography over a 24-month period (ProgStar Report No. 19)
Published on (4 days ago)
Introduction: To evaluate the progression of atrophy as determined by spectral-domain optical coherence tomography (SD-OCT) in patients with molecularly confirmed ABCA4-associated Stargardt disease type 1 (STGD1) over a 24-month period in a multicenter prospective cohort study. Methods: SD-OCT images from 428 eyes of 236 patients were analyzed. Change of mean thickness (MT) and intact area were estimated after semi-automated segmentation for the following individual layers in the central subfiel
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Refined IDRiD
Published on (4 days ago)
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Refined IDRiD
Published on (4 days ago)
Updated new version: https://zenodo.org/records/18676805
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Refined IDRiD
Published on (4 days ago)
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Anti-vegf therapy in diabetic macular oedema patients over four years
Published on (4 days ago)
OBJECTIVES: To evaluate visual acuity (VA) outcomes of intravitreal anti-vascular endothelial growth factor (VEGF) in diabetic macular oedema (DMO). METHODS: In this retrospective cohort study, electronic medical records for all patients undergoing intravitreal injections (IVI) in a tertiary referral centre between March 2013 and October 2018 were analysed. Treatment response in terms of visual acuity outcomes were reported for all eyes over a 4-year observation period. RESULTS: Our cohor
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FOREVERP width measurements.
Published on (4 days ago)
Width measurements in pixels listed as mean (μ) + standard deviation (σ) for the following vessel segments: normal vessel segment, vessels with central reflex, vessels with low contrast/uneven illumination and an average of all vessel profiles measured by human observer 1, human observer 2, ground truth and QUARTZ. Also, the differences μ (σ) between ground truth and QUARTZ are listed for all vessel profiles addressed.
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Diabetic Retinopathy Dataset
Published on (4 days ago)
The dataset used in this paper is not explicitly described. However, it is mentioned that the authors used a dataset for medical image classification, specifically for diabetic retinopathy diagnosis.
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SUSTech-SYSU dataset for Automated Exudate Detection and Diabetic Retinopathy Grading
Published on (4 days ago)
SUSTech-SYSU dataset is a collection of images of diabetic retinopathy.
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MAPLES-DR
Published on (4 days ago)
MAPLES-DR is a dataset containing new diagnoses for Diabetic Retinopathy (DR) and Macular Edema (ME) as well as new pixel-wise segmentation maps for 10 anatomical and pathological biomarkers related to DR.
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Vessel segmentation of the FOREVERP dataset.
Published on (4 days ago)
Performance parameters of vessel segmentation listed for human observer and QUARTZ with and without pre/post processing compared to ground truth data. Performance evaluated in terms of sensitivity, specificity, and accuracy.
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Assessment of image quality of the FOREVERP dataset.
Published on (4 days ago)
Image quality evaluated as number (N) and percentage of participants with 0, 1, 2, 3, ≥1, ≥3 and images of adequate quality per participant in total and from one year (2021).
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DRIVE Dataset
Published on (4 days ago)
The DRIVE dataset includes 40 color fundus photographs divided into two parts: 20 training images and 20 test images with manual segmentation of the vessels and binary masks of the Field of View.
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Messidor-2
Published on (4 days ago)
The dataset used for the diabetic retinopathy diagnosis and uncertainty quantification task.
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Deep learning for predicting uncorrected refractive error using posterior segment optical coherence images
Published on (4 days ago)
Background/Aims: The purpose of this study is to evaluate the deep learning model for estimating uncorrected refractive error using posterior segment OCT images. Definition of refractive error Refractive error was measured by expert optometrists during manifest refraction without cycloplegia. The target metric for refractive error is spherical equivalent (SE), which is defined as the spherical power whose focal point coincides. The SE is calculated by adding the sum of the spherical refractive p
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Performance parameters used for evaluation performance of algorithms; Sensitivity, specificity, and accuracy, TP = True Positive, TN = True Negative, FP = False Positive, and FN = False Negative.
Published on (4 days ago)
Performance parameters used for evaluation performance of algorithms; Sensitivity, specificity, and accuracy, TP = True Positive, TN = True Negative, FP = False Positive, and FN = False Negative.
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OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods
Published on (4 days ago)
Optical coherence tomography (OCT) is a non-invasive imaging technique that has extensive clinical applications in ophthalmology. OCT enables the visualization of the retinal layers, playing a vital role in the early detection and monitoring of retinal diseases. OCT uses the principle of light wave interference to create detailed images of the retinal microstructures, making it a valuable tool for diagnosing ocular conditions. Optical Coherence Tomography Dataset for Image-Based Deep Learning Me
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OCT5k: A dataset of multi-disease and multi-graded annotations for retinal layers
Published on (4 days ago)
The thickness and appearance of retinal layers are essential markers for diagnosing and studying eye diseases. Despite the increasing availability of imaging devices to scan and store large amounts of data, analyzing retinal images and generating trial endpoints has remained a manual, error-prone, and time-consuming task. In particular, the lack of large amounts of high-quality labels for different diseases hinders the development of automated algorithms. Therefore, we have compiled 5016 pixel-w
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Indian Diabetic Retinopathy Image Dataset
Published on (4 days ago)
A dataset of retinal images for diabetic retinopathy grading.
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APTOS2019
Published on (4 days ago)
APTOS2019 is a dataset of 3,662 fundus images for diabetic retinopathy classification.
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Dataset: Artificial Intelligence for the Diagnosis of De Novo Diabetic Retinopathy A Scoping Review of Global Evidence
Published on (4 days ago)
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Dataset: Artificial Intelligence for the Diagnosis of De Novo Diabetic Retinopathy A Scoping Review of Global Evidence
Published on (4 days ago)
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Kaggle-DR
Published on (4 days ago)
The Kaggle-DR dataset is used for diabetic retinopathy grading, containing 35,126 high-resolution fundus images.
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HRF
Published on (4 days ago)
The HRF dataset contains 45 images, which is divided into 15/15/15 images for healthy patients, patients with diabetic retinopathy and glaucomatous patients.
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MMRDR
Published on (4 days ago)
Multi-Modal Retinal images for in-depth DR analysis (MMRDR)Diabetic Retinopathy (DR) is a leading cause of preventable blindness worldwide, particularly among working-age adults. We present a multi-modal retinal images dataset, comprising 11,118 CFP images, 10,404 UWF images and 2,938 OCT images. CFP and UWF images are annotated with 5 DR severity grades and 7 DR-related lesions, while OCT images are annotated with 3 DME severity classes.
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MMRDR
Published on (4 days ago)
Multi-Modal Retinal images for in-depth DR analysis (MMRDR)Diabetic Retinopathy (DR) is a leading cause of preventable blindness worldwide, particularly among working-age adults. We present a multi-modal retinal images dataset, comprising 11,118 CFP images, 10,404 UWF images and 2,938 OCT images. CFP and UWF images are annotated with 5 DR severity grades and 7 DR-related lesions, while OCT images are annotated with 3 DME severity classes.
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MMRDR
Published on (4 days ago)
Multi-Modal Retinal images for in-depth DR analysis (MMRDR)Diabetic Retinopathy (DR) is a leading cause of preventable blindness worldwide, particularly among working-age adults. We present a multi-modal retinal images dataset, comprising 11,118 CFP images, 10,404 UWF images and 2,938 OCT images. CFP and UWF images are annotated with 5 DR severity grades and 7 DR-related lesions, while OCT images are annotated with 3 DME severity classes.
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A histopathological image dataset for endometrial disease diagnosis
Published on (4 days ago)
Recent studies have shown that computer-aided diagnosis (CADx) systems based on deep learning can perform even better than human experts in detecting some common diseases, such as diabetic retinopathy and pneumonia. However, the scarcity of labeled medical imaging data impedes a broad application of this technique to diagnosis of other malignant tumors that receive relatively little attention, especially for women. For example, uterine cancer (also known as endometrial cancer) can seriously affe
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IDRiD dataset
Published on (4 days ago)
The IDRiD dataset consists of 516 fundus images and ground truths associated with the signs of Diabetic Retinopathy (DR) and Diabetic Macular Edema (DME).
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Classification of Diabetic Retinopathy using Pre-Trained Deep Learning Models
Published on (4 days ago)
Diabetic Retinopathy dataset containing 1000 color fundus images from KAGGLE
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SYN-OCT
Published on (4 days ago)
The SYN-OCT dataset consists of 200,000 synthetic cross-sectional circumpapillary OCT images, including 100,000 images generated to represent glaucoma eyes and 100,000 images generated to represent healthy eyes. These synthetic images were produced using generative models trained on real OCT scans collected from participants at the Singapore Eye Research Institute. This resource is designed to support the development and validation of deep learning models for glaucoma detection and analysis. It
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Advanced Imaging for Glaucoma Study
Published on (4 days ago)
Dataset for Advanced Imaging for Glaucoma Study
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DPDR: A Dataset of Retinal Fundus images of Healthy and Proliferative Diabetic Retinopathy Patients
Published on (4 days ago)
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3D OCTA Microvascular Annotations
Published on (4 days ago)
Two OCTA datasets were employed in this study. The first is a clinical dataset that includes scans from both healthy individuals and patients with diabetic retinopathy, acquired at a typical macular field of view (3 × 3 mm). The second dataset consists of annotated scans from healthy subjects with the same imaging resolution. These datasets were used to validate the proposed method in terms of segmentation accuracy, robustness, and generalizability across different imaging conditions.
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3D OCTA Microvascular Annotations
Published on (4 days ago)
Two OCTA datasets were employed in this study. The first is a clinical dataset that includes scans from both healthy individuals and patients with diabetic retinopathy, acquired at a typical macular field of view (3 × 3 mm). The second dataset consists of annotated scans from healthy subjects with the same imaging resolution. These datasets were used to validate the proposed method in terms of segmentation accuracy, robustness, and generalizability across different imaging conditions.
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Bangladesh Multi-Disease Retinal Dataset (BMRD)
Published on (4 days ago)
This Dataset contains 1786 original color fundus images of Diabetic Retinopathy (DR), Age related Macular Degeneration (AMD) and Glaucoma Sight threatening Eye Diseases. These eye images were collected from three renowned Eye Hospitals of Bangladesh namely Khulna Eye Hospital & Laser Center Limited, Khulna BNSB Eye Hospital, Shiromoni and Anwer Khan Modern Medical College Hospital, Dhaka, Bangladesh. The images were collected and categorized under the supervision of three Ophthalmologists. D
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Bangladesh Multi-Disease Retinal Dataset (BMRD)
Published on (4 days ago)
This Dataset contains 1786 original color fundus images of Diabetic Retinopathy (DR), Age related Macular Degeneration (AMD) and Glaucoma Sight threatening Eye Diseases. These eye images were collected from three renowned Eye Hospitals of Bangladesh namely Khulna Eye Hospital & Laser Center Limited, Khulna BNSB Eye Hospital, Shiromoni and Anwer Khan Modern Medical College Hospital, Dhaka, Bangladesh. The images were collected and categorized under the supervision of three Ophthalmologists. D
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Prediction of Diabetic Retinopathy Using Pancreatic Elastography as an Imaging Tool
Published on (4 days ago)
Title: Dataset for: Prediction of Diabetic Retinopathy Using Pancreatic Elastography Description: This dataset contains anonymized clinical, laboratory, and imaging data for 200 patients with Type 2 Diabetes Mellitus. It includes pancreatic stiffness measurements from shear-wave elastography, DR classification (No DR, NPDR, PDR), HbA1c, CRP levels, and diabetes duration. The data were used in a cross-sectional study assessing the role of pancreatic elastography as a predictor of diabetic ret
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Prediction of Diabetic Retinopathy Using Pancreatic Elastography as an Imaging Tool
Published on (4 days ago)
Title: Dataset for: Prediction of Diabetic Retinopathy Using Pancreatic Elastography Description: This dataset contains anonymized clinical, laboratory, and imaging data for 200 patients with Type 2 Diabetes Mellitus. It includes pancreatic stiffness measurements from shear-wave elastography, DR classification (No DR, NPDR, PDR), HbA1c, CRP levels, and diabetes duration. The data were used in a cross-sectional study assessing the role of pancreatic elastography as a predictor of diabetic ret
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Glaucoma Detection Dataset
Published on (4 days ago)
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Stanford Glaucoma Dataset
Published on (4 days ago)
A dataset of OCT scans consisting of glaucoma and non-glaucomatous cases obtained from four tertiary care eye hospitals located in four different countries.
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Diabetic Retinopathy
Published on (4 days ago)
The dataset consists of color fundus images categorized into five Diabetic Retinopathy (DR) severity levels. The No_DR category, with 1,805 images, represents healthy retinal scans without any signs of DR. The Mild category includes 370 images, showing early signs of microaneurysms, the initial indicators of DR. The Moderate class, comprising 999 images, exhibits more prominent abnormalities such as hemorrhages and exudates, indicating disease progression. The Severe category, with 193 images, c
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Controllable retinal image synthesis using conditional StyleGAN and latent space manipulation for improved diagnosis and grading of diabetic retinopathy
Published on (4 days ago)
This research leverages ConditionalStyleGAN to generate synthetic fundus images, which are then used to enhance the performance of a retinopathy grading classifier across various scenarios. The pretrained ConditionalStyleGAN model is located in the "CStyleGAN" folder. Our findings indicate that the best results for the grading classifier are achieved when it is initially pretrained with synthetic images and subsequently fine-tuned with real images. Detailed results, including all images used in
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Iterative nick thresholding region growing for hemorrhage and exudate detection and segmentation to prescreen diabetic retinopathy
Published on (4 days ago)
Diabetic retinopathy (DR) is a prevalent eye condition affecting approximately one-third of individuals with diabetes, leading to vision loss in both working-age adults and the elderly. Early detection and intervention are crucial for improving patient outcomes and reducing the strain on healthcare systems. Developing advanced computational techniques enables the creation of automated systems for screening and managing DR. This study focuses on detecting and segmenting exudates and hemorrhages i
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REFUGE18
Published on (4 days ago)
A retinal fundus glaucoma challenge dataset.
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Dataset-screening for primary open angle glaucoma
Published on (4 days ago)
Dataset- screening for primary open angle glaucoma
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Dataset-screening for primary open angle glaucoma
Published on (4 days ago)
Dataset- screening for primary open angle glaucoma
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Dataset for study on foveal avascular zone morphology, ganglion cell thickness, and high density perimetry in glaucoma
Published on (4 days ago)
This dataset contains data from a cross-sectional study evaluating foveal avascular zone (FAZ) morphology, macular vascular density (mVD), ganglion cell layer thickness (GCLT), and high density perimetry in glaucoma patients. Each row corresponds to one eye, including variables such as age, gender, eye number, axial length, structural metrics (FAZ area, perimeter, circularity; GCLT values), functional measurements from high-density perimetry visual field and standard automated perimetry (mean
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Data from: Biofeedback fixation training in the rehabilitation of patients suffering from geographic atrophy
Published on (4 days ago)
Geographic atrophy (GA) is a progressive cause of central vision loss with limited rehabilitation options. This prospective case series aimed to evaluate the effects of biofeedback fixation training (BFT) on visual function and vision-related quality of life (QoL) in patients with GA. Eighteen patients with total central vision loss in one eye underwent BFT on the fellow eye (study eye) using the Macular Integrity Assessment (MAIA) system, which was used to select a new, previously chosenp
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Deep Learning for the Detection and Classification of Diabetic Retinopathy with an Improved Activation Function
Published on (4 days ago)
Diabetic retinopathy (DR) is an eye disease triggered due to diabetes, which may lead to blindness. To prevent diabetic patients from becoming blind, early diagnosis and accurate detection of DR are vital. Deep learning models, such as convolutional neural networks (CNNs), are largely used in DR detection through the classification of blood vessel pixels from the remaining pixels. In this paper, an improved activation function was proposed for diagnosing DR from fundus images that automatically
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Ichallenge-AMD
Published on (4 days ago)
The Ichallenge-AMD dataset is used for age-related macular degeneration detection, containing 1200 annotated retinal fundus images.
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Comprehensive 3D Optical Coherence Tomography Dataset for AMD and DME: Facilitating Deep-Learning-Based 3D Segmentation
Published on (4 days ago)
3D optical coherence tomography (OCT) dataset for 3D AMD and DME segmentation.
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Comparison of proposed method with existing methods.
Published on (4 days ago)
Comparison of proposed method with existing methods.
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Segmentation model performance assessment.
Published on (4 days ago)
Eye diseases such as diabetic retinopathy are progressive with various changes in the retinal vessels, and it is difficult to analyze the disease for future treatment. There are many computerized algorithms implemented for retinal vessel segmentation, but the tiny vessels drop off, impacting the performance of the overall algorithms. This research work contains the new image processing techniques such as enhancement filters, coherence filters and binary thresholding techniques to handle the diff
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Impact of 2nd order multi-dimensional LoG Detector on segmentation of retinal vessels.
Published on (4 days ago)
Impact of 2nd order multi-dimensional LoG Detector on segmentation of retinal vessels.
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Comprehensive 3D Optical Coherence Tomography Dataset for AMD and DME: Facilitating Deep-Learning-Based 3D Segmentation
Published on (4 days ago)
3D optical coherence tomography (OCT) dataset for 3D AMD and DME segmentation.
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"Accelerating Deep Learning for Medical Image Analysis"
Published on (4 days ago)
"The processing of large-scale, high-resolution medical images often leads to substantial computational requirements, increased GPU memory consumption, and longer training durations. To overcome these challenges, this work proposes an optimized deep learning framework for diabetic retinopathy prediction, integrating three key optimization strategies within a unified pipeline: mixed-precision training to reduce memory usage, Accelerated Linear Algebra (XLA) compilation to improve execution effici
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EyeQ
Published on (4 days ago)
Retinal fundus images have been extensively used for clinical analysis of various ocular diseases, but the quality of fundus images is critical to the diagnosis and screening of eye diseases.
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High-Resolution Retinal Fundus Dataset for Diabetic Retinopathy Detection from Aizawl
Published on (4 days ago)
This dataset contains high-resolution retinal fundus images collected from 495 unique subjects from Eye Care hospital in Aizawl, Mizoram, for diabetic retinopathy (DR) detection and classification. The images were captured over five years using the OCT RS 330 device, which features a 45° field of view (33° for small-pupil imaging), a focal length of 45.7 mm, and a 6.25 mm sensor width. Each image was acquired at a resolution of 3000x3000 pixels, ensuring high diagnostic quality and the visibilit
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Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0
Published on (4 days ago)
Retinal Fundus Multi-disease Image Dataset (RFMiD 2.0) is an auxiliary dataset to our previously published dataset. RFMiD 2.0 is a more challenging dataset to research society to develop the computer-based disease diagnosis system. Diabetic Retinopathy, cataracts, and refractive error in the eye are leading disease which causes permanent vision loss more frequently. Therefore, developing an AI-based model to classify these diseases is useful for ophthalmologists. This dataset consists of 860 ima
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The SUSTech-SYSU dataset for automated exudate detection and diabetic retinopathy grading
Published on (4 days ago)
Automated detection of exudates from fundus images plays an important role in diabetic retinopathy (DR) screening and evaluation, for which supervised or semi-supervised learning methods are typically preferred. However, a potential limitation of supervised and semi-supervised learning based detection algorithms is that they depend substantially on the sample size of training data and the quality of annotations, which is the fundamental motivation of this work. In this study, we construct a data
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Kaggle APTOS 2019
Published on (4 days ago)
The dataset used in the paper to evaluate the proposed two-stage approximately orthogonal training framework (TAOTF) for Deep Neural Networks (DNNs).
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GRIFD: A Graded Region-Wise Dissection and Cross-Pooling RNN Framework for Precise Diabetic Retinopathy Detection in Fundus Images
Published on (4 days ago)
Early and precise detection of diabetic retinopathy (DR) is essential in averting vision impairment. This work introduces graded region wise inspection and feature dissection(GRIFD), a novel deep learning architecture designed explicitly for fine-grained diabetic retinopathy (DR) detection from fundus images. GRIFD enforces a graded region-of-interest (ROI) dissection approach, which methodically segments fundus images into diagnostic blocks to promote local lesion visibility. A Recurrent Neural
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GRIFD: A Graded Region-Wise Dissection and Cross-Pooling RNN Framework for Precise Diabetic Retinopathy Detection in Fundus Images
Published on (4 days ago)
Early and precise detection of diabetic retinopathy (DR) is essential in averting vision impairment. This work introduces graded region wise inspection and feature dissection(GRIFD), a novel deep learning architecture designed explicitly for fine-grained diabetic retinopathy (DR) detection from fundus images. GRIFD enforces a graded region-of-interest (ROI) dissection approach, which methodically segments fundus images into diagnostic blocks to promote local lesion visibility. A Recurrent Neural
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Analysis of risk factors for early type 2 diabetic nephropathy complicated with retinopathy
Published on (4 days ago)
Objective To retrospectively analyze the risk factors for early type 2 diabetic nephropathy (DN) complicated with retinopathy (DR) and to provide a basis for early prevention and delaying the progression of retinopathy. Methods The clinical data of 268 patients with early type 2 DR who were hospitalized in the Department of Endocrinology and Nephrology in our hospital from January 2020 to December 2022 were collected and divided into the non diabetic retinopathy (NDR) group and DR group accordi
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Challenging images performance assessment.
Published on (4 days ago)
Eye diseases such as diabetic retinopathy are progressive with various changes in the retinal vessels, and it is difficult to analyze the disease for future treatment. There are many computerized algorithms implemented for retinal vessel segmentation, but the tiny vessels drop off, impacting the performance of the overall algorithms. This research work contains the new image processing techniques such as enhancement filters, coherence filters and binary thresholding techniques to handle the diff
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Glaucoma Screening dataset
Published on (4 days ago)
PAPILA dataset contains fundus images and clinicaldata from 244 patients, with images from both eyes of each patient. This dataset is specifically designed to support research on early glaucoma diagnosis by leveraging comprehensive data from both eyes. Additionally, it includes segmentation information for each patient’s optic disc and cup, alongside diagnostic outcomes based on clinical data. For our analysis, we focused on images labeled as normal (0) and glaucom
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Fundus dataset for detection of Diabetic Retinopathy
Published on (4 days ago)
Fundus images with dimensions 3680x3288 collected at Natasha Eye Care and Research Institute in Pune, Maharashtra, India. The Symbiosis Institutional Ethics Committee (BHR) SIU granted authorization for the project under approval code SIU/IEC/583. The images were captured using a nonmydriatic as per the protocol, and Fundus images using an Eidon machine. A Fundus scan requires 1-2 minutes if the patient is cooperative. Two ophthalmologists then annotated the images. ETDRS scale is used for the c
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EyePACS DR CVS Data
Published on (4 days ago)
Preliminary dataset used to generate abstract for research paper. Courtesy of EyePACs.
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Deep Learning for the Detection and Classification of Diabetic Retinopathy with an Improved Activation Function
Published on (4 days ago)
Diabetic retinopathy (DR) is an eye disease triggered due to diabetes, which may lead to blindness. To prevent diabetic patients from becoming blind, early diagnosis and accurate detection of DR are vital. Deep learning models, such as convolutional neural networks (CNNs), are largely used in DR detection through the classification of blood vessel pixels from the remaining pixels. In this paper, an improved activation function was proposed for diagnosing DR from fundus images that automatically
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Diabetic Retinopathy
Published on (4 days ago)
The dataset consists of color fundus images categorized into five Diabetic Retinopathy (DR) severity levels. The No_DR category, with 1,805 images, represents healthy retinal scans without any signs of DR. The Mild category includes 370 images, showing early signs of microaneurysms, the initial indicators of DR. The Moderate class, comprising 999 images, exhibits more prominent abnormalities such as hemorrhages and exudates, indicating disease progression. The Severe category, with 193 images, c
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<b>MAPLES-DR: </b>MESSIDOR Anatomical and Pathological Labels for Explainable Screening of Diabetic Retinopathy
Published on (4 days ago)
MAPLES-DR (MESSIDOR Anatomical and Pathological Labels for Explainable Screening of Diabetic Retinopathy), contains new diagnoses for DR and ME as well as new pixel-wise segmentation maps for 10 retinal structures on 198 images of the MESSIDOR public fundus dataset.4 Anatomical Structures: Optic Disc, Optic Cup, Macula, and Vessels;3 Bright Lesions: Exudates, Cotton Wool Spots, and Drusens;3 Red Lesions: Microaneurysms, Hemorrhages, and NeovesselsThe fundus images corresponding to the diagnostic
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fundus-dataset.zip
Published on (4 days ago)
The dataset includes 26 different categories of 1500 true color fundus images in 24-bit RGB format retrieved from 8 open access databases, namely: - STARE – STructured Analysis of the Retina- DRIVE – Digital Retinal Images for Vessel Extraction- Messidor (base11) – Methods to Evaluate Segmentation and Indexing Techniques in the field of Retinal Ophthalmology- Kaggle – 1000 Fundus Images- Kaggle – Glaucoma Detection- DRHAGIS – Diabetic Retinopathy, Hypertension, Age-related macular degeneratio
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Data on Fundus Images for Vessels Segmentation, Detection of Hypertensive Retinopathy, Diabetic Retinopathy and Papilledema
Published on (4 days ago)
We presents a dataset of 100 fundus digital images of retina. The retinal images are taken from Armed Forces Institute of Ophthalmology (AFIO), Rawalpindi, Pakistan and annotated with the help of four expert ophthalmologists for the purpose of computer aided diagnosis of hypertensive retinopaty, diabetic retinopathy and papilledema. This dataset contains retinal blood vessels network, segmented artery/ vein network to calculate Arteriovenous Ratio (AVR), annotation of Optic Nerve Head (ONH) and
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Seshikala Code.zip
Published on (4 days ago)
This paper presented the HODLNet deep neural network, an effective optimization-based system for evaluating Non-Proliferative Diabetic Retinopathy severity levels. The noise is removed and the image is made grayscale during the preprocessing stage. Segmenting and removing the blood vessels and optic disc, which improves the area with lesions and eliminates the spurious regions. A feature vector is created by first extracting the features and then combining them for the desired classification. Th
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Indian Diabetic Retinopathy Image Dataset (IDRiD)
Published on (4 days ago)
The dataset used for the proposed Concept-Centric Visual Turing Test (VTT) framework for evaluating MIC methods.
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EyePACS dataset
Published on (4 days ago)
The EyePACS dataset is a collection of retinal fundus images of individuals potentially suffering from diabetic retinopathy (DR), an eye disease associated with diabetes that is one of the leading causes of visual impairment worldwide.
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DR and AMD fundus image classification
Published on (4 days ago)
The dataset used in this paper for retinal diseases classification, including diabetic retinopathy (DR) and age-related macular degeneration (AMD).
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Fundus vascular image data
Published on (4 days ago)
CHASE DB1: Child Heart and Health Study in England(CHASE DB1) is an openly accessible dataset designed for the analysis of fundus images. The resolution of each image is 990 × 960 pixels, and the corresponding vessel segmentation has been meticulously labeled by expert ophthalmologists. CHASE DB1 serves as a valuable resource for developing and evaluating retinal vessel segmentation algorithms, facilitating enhanced comprehension and analysis of vascular structures within fundus images. Conseque
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Efficient Diabetic Retinopathy Space Subjective Fuzzy Clustering In Digital Fundus Images
Published on (4 days ago)
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Detection of Exudates Caused By Diabetic Retinopathy in Fundus Retinal Image Using Fuzzy K Means and Neural Network
Published on (4 days ago)
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Fundus dataset for detection of Diabetic Retinopathy
Published on (4 days ago)
Fundus images with dimensions 3680x3288 collected at Natasha Eye Care and Research Institute in Pune, Maharashtra, India. The Symbiosis Institutional Ethics Committee (BHR) SIU granted authorization for the project under approval code SIU/IEC/583. The images were captured using a nonmydriatic as per the protocol, and Fundus images using an Eidon machine. A Fundus scan requires 1-2 minutes if the patient is cooperative. Two ophthalmologists then annotated the images. ETDRS scale is used for the c
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The Foveal Avascular Zone Image Database (FAZID)
Published on (4 days ago)
The Foveal Avascular Zone (FAZ) is of clinical importance since the vascular arrangement around the fovea changes with disease and refractive state of the eye. In order to test and validate newly developed automated segmentation algorithms, we have created a public dataset of these retinal fundus images consisting of a total of 304 different images classified into: Diabetic (107), Myopic (109) and Normal (88) eyes. The images are of dimensions 420 x 420 pixels corresponding to 6mm x 6mm dimensio
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The Foveal Avascular Zone Image Database (FAZID)
Published on (4 days ago)
The Foveal Avascular Zone (FAZ) is of clinical importance since the vascular arrangement around the fovea changes with disease and refractive state of the eye. In order to test and validate newly developed automated segmentation algorithms, we have created a public dataset of these retinal fundus images consisting of a total of 304 different images classified into: Diabetic (107), Myopic (109) and Normal (88) eyes. The images are of dimensions 420 x 420 pixels corresponding to 6mm x 6mm dimensio
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<b>MAPLES-DR: </b>MESSIDOR Anatomical and Pathological Labels for Explainable Screening of Diabetic Retinopathy
Published on (4 days ago)
MAPLES-DR (MESSIDOR Anatomical and Pathological Labels for Explainable Screening of Diabetic Retinopathy) [1], contains new diagnoses for Diabetic Retinopathy (DR) and Macular Edema (ME) as well as new pixel-wise segmentation maps for 10 retinal structures related to those pathologies for 198 images of the MESSIDOR public fundus dataset [2]. The annotation procedure and an evaluation of the MAPLES-DR labels are documented in a Scientific Data paper [1]. If you wish
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Analysis of segmentation method’s performance.
Published on (4 days ago)
Eye diseases such as diabetic retinopathy are progressive with various changes in the retinal vessels, and it is difficult to analyze the disease for future treatment. There are many computerized algorithms implemented for retinal vessel segmentation, but the tiny vessels drop off, impacting the performance of the overall algorithms. This research work contains the new image processing techniques such as enhancement filters, coherence filters and binary thresholding techniques to handle the diff
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Efficient Diabetic Retinopathy Space Subjective Fuzzy Clustering In Digital Fundus Images
Published on (4 days ago)
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Diabetic Retinopathy Detection
Published on (4 days ago)
The dataset used in the diabetic retinopathy detection task in the conformal risk control framework.
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Multimodal OCTA and Fundus Image dataset for detection of Diabetic Retinopathy
Published on (4 days ago)
This is a Multimodal OCTA and Fundus Image dataset curated for detection of Diabetic Retinopathy at Natasha Eye care and Research Institute. In all 224 images from 74 persons were captured in Version-1 and 338 images from 111 person in Version-2 Two modalities for every individual were taken simultaneously using Eidon camera for Fundus images and Optovue Avanti edition for OCTA images. we have three categories of classification in this dataset 1. NO DR 2. MILD DR 3. MODERATE DR CO
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Multimodal OCTA and Fundus Image dataset for detection of Diabetic Retinopathy
Published on (4 days ago)
This is a Multimodal OCTA and Fundus Image dataset curated for detection of Diabetic Retinopathy at Natasha Eye care and Research Institute. In all 224 images from 74 persons were captured in Version-1 and 338 images from 111 person in Version-2 Two modalities for every individual were taken simultaneously using Eidon camera for Fundus images and Optovue Avanti edition for OCTA images. we have three categories of classification in this dataset 1. NO DR 2. MILD DR 3. MODERATE DR CO
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Multimodal OCTA and Fundus Image dataset for detection of Diabetic Retinopathy
Published on (4 days ago)
This is a Multimodal OCTA and Fundus Image dataset curated for detection of Diabetic Retinopathy at Natasha Eye care and Research Institute. In all 224 images from 74 persons were captured. Two modalities for every individual were taken simultaneously using Eidon camera for Fundus images and Optovue Avanti edition for OCTA images. we have three categories of classification in this dataset 1. NO DR 2. MILD DR 3. MODERATE DR CONSENT Forms are taken for every Individual.
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mBRSET, a Mobile Brazilian Retinal Dataset
Published on (4 days ago)
The Mobile Brazilian Retinal Dataset (mBRSET) presents a pioneering collection of retinal images captured via portable cameras, encompassing a diverse range of ethnic backgrounds from Itabuna, Bahia, Brazil. Comprising 5164 images from 1291 patients diagnosed with diabetes, this dataset is augmented with clinical and demographic metadata. Its significance lies in its provision as a resource for the development and validation of algorithms tailored for portable retinal cameras, which are increasi
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APTOS-2019 Blindness Detection Dataset
Published on (4 days ago)
The APTOS-2019 blindness detection dataset is used for detecting diabetic retinopathy severity stages from fundus images.
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EyePACS
Published on (4 days ago)
The EyePACS dataset consists of 35,126 training images and 53,576 testing images only containing grading labels.
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mBRSET, a Mobile Brazilian Retinal Dataset
Published on (4 days ago)
The Mobile Brazilian Retinal Dataset (mBRSET) presents a pioneering collection of retinal images captured via portable cameras, encompassing a diverse range of ethnic backgrounds from Itabuna, Bahia, Brazil. Comprising 5164 images from 1291 patients diagnosed with diabetes, this dataset is augmented with clinical and demographic metadata. Its significance lies in its provision as a resource for the development and validation of algorithms tailored for portable retinal cameras, which are increasi
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Detection of Diabetic Retinopathy Using Integrated Deep Learning with Image Processing Technique
Published on (4 days ago)
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Matlab Code (ZIP file) from Evaluation of a portable retinal imaging device: towards a comparative quantitative analysis for morphological measurements of retinal blood vessels
Published on (4 days ago)
Retinal blood vessel segmentation code
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ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model
Published on (4 days ago)
Retinal OCT-Angiography Vessel Segmentation Dataset (ROSE) is now open source. It includes two subsets: ROSE-1 and ROSE-2. ROSE-1 subset consists of a total of 117 OCTA images from 39 subjects (26 with disease and the rest are healthy control) and was split into 90 images for training and 27 images for testing. Each subject has en face angiograms of superficial (SVC), deep (DVC), and the inner retinal vascular plexus that includes both SVC and DVC (SVC+DVC) respectively. All the OCTA scans w
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EyePACS 2015
Published on (4 days ago)
Diabetic retinopathy (DR) is a leading cause of vision loss in the world and numerous cutting-edge works have built powerful deep neural networks (DNNs) to automatically classify the DR cases via the retinal fundus images (RFIs).
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Dataset of Retinal blood Vessels of Healthy and Diabetic Retinopathy Individuals
Published on (4 days ago)
This dataset contains 50 retinal blood vessels extracted from retinal images available in Diabetic Retinopathy Image Database (DRiDB) public database. The database contains 50 colour fundus images that were captured with Zeiss VISUCAM 200 fundus camera at 45o field of view. 36 of these images has signs of DR while 14 does not show any signs of DR.
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Data on Fundus Images for Vessels Segmentation, Detection of Hypertensive Retinopathy, Diabetic Retinopathy and Papilledema
Published on (4 days ago)
We presents a dataset of 100 fundus digital images of retina. The retinal images are taken from Armed Forces Institute of Ophthalmology (AFIO), Rawalpindi, Pakistan and annotated with the help of four expert ophthalmologists for the purpose of computer aided diagnosis of hypertensive retinopaty, diabetic retinopathy and papilledema. This dataset contains retinal blood vessels network, segmented artery/ vein network to calculate Arteriovenous Ratio (AVR), annotation of Optic Nerve Head (ONH) and
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Surface-based analyses of anatomical properties of the visual cortex in macular degeneration
Published on (4 days ago)
Introduction Macular degeneration (MD) can cause a central visual field defect. In a previous study, we found volumetric reductions along the entire visual pathways of MD patients, possibly indicating degeneration of inactive neuronal tissue. This may have important implications. In particular, new therapeutic strategies to restore retinal function rely on intact visual pathways and cortex to reestablish visual function. Here we reanalyze the data of our previous study using surface-based morpho
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OCTA Macula Coronal Views
Published on (4 days ago)
Macula Coronal Views (MCV) dataset This dataset is used for experiements aiming to transform opical coherence tomography angiography (OCTA) B-Scan into innovative OCTA graphs. The results of the research will be submitted in a paper titled as: "New macular vasculature graphs in optical coherence tomography angiography". The dataset contains 129 subjects that were organized as follows: 90 Subjects of Normal OCTA scans 29 Subjects of Diabetic Retinopathy (DR) OCTA scans 5 Subjects of Age-rel
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OCT Images Dataset
Published on (4 days ago)
Description: Retinal Optical Coherence Tomography (OCT): OCT Images Dataset is a non-invasive imaging technique that generates high-resolution cross-sectional images of the retina. This method is critical for diagnosing and monitoring retinal conditions by allowing clinicians to examine the internal structure of the retina in great detail. According to estimates, around 30 million OCT scans are conducted annually worldwide, underscoring the importance of efficient analysis and in
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Dataset: FAIR AMD OCT Datasets Paper
Published on (4 days ago)
This is the dataset associated with the paper titled "Publicly Available Imaging Datasets for Age-related Macular Degeneration: Evaluation according to the Findable, Accessible, Interoperable, Reproducible (FAIR) Principles". Age-related macular degeneration (AMD), a leading cause of vision loss among older adults, affects more than 200 million people worldwide. In this paper, We evaluated openly available AMD-related datasets containing optical coherence tomography (OCT) data against the FAIR p
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EyePACS DR CVS Data
Published on (4 days ago)
Preliminary dataset used to generate abstract for research paper. Courtesy of EyePACs.
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A Composite Retinal Fundus and OCT Dataset with Detailed Clinical Markings of Retinal Layers and Retinal Lesions to Grade Macular and Glaucomatous Disorders
Published on (4 days ago)
This repository contains composite retinal fundus and OCT dataset for analyzing retinal layers, retinal lesions, and to diagnose normal and abnormal retinal diseases like Centrally Involved Diabetic Macular Edema, Acute Central Serous Retinopathy (CSR), Chronic CSR, Geographic Age-related Macular Degeneration (AMD), Neovascular AMD, and Glaucoma. Please cite the following papers if you want to use any part of this dataset: 1) T. Hassan, M. U. Akram, M. F. Masood, U. Yasin, “Deep structure tens
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Diabetic CF-FA registration Keypoints Ground truth
Published on (4 days ago)
We present a publicly available dataset of keypoints for multimodal retinal image registration using Color Fundus (CF) and Fractional Anisotropy (FA) images. This dataset is derived from the diabetic retinal image dataset [1], consisting of 59 subjects (29 healthy controls and 30 diabetic patients). The CF images are captured in RGB, while FA images, highlighting microvascular structures, are provided in grayscale, both at a resolution of 720 × 576 pixels. For each subject, we manually annotated
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Flagship Dataset of Type 2 Diabetes from the AI-READI Project
Published on (146 days ago)
The AI-READI project seeks to create and share a flagship ethically-sourced dataset of type 2 diabetes.
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OCT5k: A dataset of multi-disease and multi-graded annotations for retinal layers
Published on (521 days ago)
The thickness and appearance of retinal layers are essential markers for diagnosing and studying eye diseases. Despite the increasing availability of imaging devices to scan and store large amounts of data, analyzing retinal images and generating trial endpoints has remained a manual, error-prone, and time-consuming task. In particular, the lack of large amounts of high-quality labels for different diseases hinders the development of automated algorithms. Therefore, we have compiled 5016 pixel-wise manual labels for 1672 optical coherence tomography (OCT) scans featuring two different diseases as well as healthy subjects to help democratize the process of developing novel automatic techniques. We also collected 4698 bounding box annotations for a subset of 566 scans across 9 classes of disease biomarker. Due to variations in retinal morphology, intensity range, and changes in contrast and brightness, designing segmentation and detection methods that can generalize to different disease types is challenging. While machine learning-based methods can overcome these challenges, high-quality expert annotations are necessary for training. Publicly available annotated image datasets typically contain few images and/or only cover a single type of disease, and most are only annotated by a single grader. To address this gap, we present a comprehensive multi-grader and multi-disease dataset fortraining machine learning-based algorithms. The proposed dataset covers three subsets of scans (Age-related Macular Degeneration, Diabetic Macular Edema, and healthy) and annotations for two types of tasks (semantic segmentation and object detection).
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Labeled Retinal Optical Coherence Tomography Dataset for Classification of Normal, Drusen, and CNV Cases
Published on (1603 days ago)
This dataset consists of more than 16,000 retinal OCT B-scans from 441 cases (Normal: 120, Drusen: 160, CNV: 161) and is acquired at Noor Eye Hospital, Tehran, Iran. Images are labeled by a retinal specialist.
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A Composite Retinal Fundus and OCT Dataset along with Detailed Clinical Markings for Extracting Retinal Layers, Retinal Lesions and Screening Macular and Glaucomatous Disorders
Published on (1663 days ago)
This repository contains composite retinal fundus and OCT dataset for analyzing retinal layers, retinal lesions, and to diagnose normal and abnormal retinal diseases like Macular Edema, Central Serous Retinopathy, Age-related Macular Degeneration, and Glaucoma.
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The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment
Published on (2007 days ago)
This dataset is an upgraded version of the dataset used in the latter part of the article 'The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment' in Medical & Biological Engineering & Computing volume 57, pages677-687(2019). Images including both OCT and matched fundus photograph was crawled from Google Image Search using keywords related to normal retina, drusen, AMD, and OCT. The dataset was built by harvesting images manually for normal and AMD categories. Finally, 59 normal eyes, 26 drusens, and 98 AMD eyes including both OCT and matched fundus images were obtained.
Keywords:
Age-related Macular Degeneration Retinal OCT images
Published on (2673 days ago)
Fovea-centered OCT images of adult retina diagnosed with Age-related Macular Degeneration.