Tunisian 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.The dataset includes images from multiple retinal pathologies:      AMD (Age-related Macular Degeneration)      DME (Diabetic Macular Edema)      RRD (Rhegmatogenous Retinal Detachment)      Healthy/Normal cases⚠️ Access: To ensure compliance with ethical guidelines and patient privacy, the dataset is available upon reasonable request under controlled access conditions.This dataset is suitable for:  Training and evaluating deep learning models for retinal disease detection.  Benchmarking classification performance across multiple retinal pathologies.This dataset is available under controlled access conditions. Interested researchers can request access by following the instructions in the Zenodo record.