Pre-screening of healthy retinal using geometrical features extracted from OCT retinal images
Version 1Optical 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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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 (