This project builds an AI system to detect diabetic retinopathy from eye fundus images using deep learning. It applies CNNs, transfer learning, and U-Net segmentation to identify key retinal features and disease stages. The model achieves high accuracy of R2 ~ 0.92, supporting early diagnosis and helping prevent vision loss through timely treatm…
☆13Feb 24, 2026Updated last week
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