Deep learning system for classifying retinal diseases (CNV, DME, DRUSEN, Normal) from OCT scans using Custom CNN and VGG19 models.
Key Features
Clinical-grade performance: 92.13% test accuracy
Explainable AI: Grad-CAM visualization
️ Class balancing: Automatic weight calculation
️ Preprocessing pipeline: Denoising, CLAHE, ROI extraction
? Two model variants: Lightweight CNN (91.28%) and VGG19 (92.13%)