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> "
Version 1The 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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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