Tunisian OCT Dataset for Multi-Disease Retinal ClassificationTunisian OCT Dataset for Multi-Disease Retinal Classification
Version 1The 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 This dataset is suitable for: Training and evaluating deep learning
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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 This dataset is suitable for: Training and evaluating deep learning