Article
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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Identifiers and source
- Literature Corpus work
- a7b8f9e1-2991-5be3-a981-558ce08a6eb9
- DOI
- 10.20944/preprints202510.1822.v1
