This repository contains an image classification project focused on Optical Coherence Tomography (OCT) images. The goal is to classify OCT scans into four different classes: normal, diabetic macular edema (DME), drusen, and choroidal neovascularization (CNV).
Deep Learning methods: . VGG16: contains the code that achieves best results (preprocessing1 + data augmentation) . Resnet50V2: contains the code that achieves best results (original database) . Proposed Model: contains the code that achieves best results (preprocessing 2)
Data- https://data.mendeley.com/v1/datasets/compare/rscbjbr9sj/2/3