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Eye Disease Classification from OCT Images

2025-10-24

Abstract excerpt

This study presents a deep learning–based framework for the automated classification of retinal diseases using Optical Coherence Tomography (OCT) images. Convolutional neural network architectures, including ResNet50, Xception, and Inception V3, were developed and evaluated to distinguish between pathological and normal retinal conditions, such as Choroidal Neovascularization, Diabetic Macular Edema, and Drusen. T...

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Literature Corpus work
a7b8f9e1-2991-5be3-a981-558ce08a6eb9
DOI
10.20944/preprints202510.1822.v1
Open publication

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Eye Disease Classification from OCT ImagesDOI 10.20944/preprints202510.1822.v1
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