Tunisian 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 casesThis dataset is suitable for:Training and evaluating deep learning models for retinal disease dete
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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 casesThis dataset is suitable for:Training and evaluating deep learning models for retinal disease dete