Tunisian OCT Dataset for Multi-Disease Retinal ClassificationTunisian OCT Dataset for Multi-Disease Retinal Classification

The Retinal-OCT-Clinical-Dataset is a collection of clinically acquired retinal OCT (Optical Coherence Tomography) images, designed to serve as a benchmark for deep learning models in retinal disease classification.<br>The dataset includes images from multiple retinal pathologies:<br>AMD (Age-related Macular Degeneration)<br>DME (Diabetic Macular Edema)<br>RRD (Rhegmatogenous Retinal Detachment)<br>Healthy/Normal cases<br><br>This dataset is suitable for:<br>Training and evaluating deep learning models for retinal disease detection.<br>Benchmarking classification performance across multiple retinal pathologies.