ashkunwar/Diabetic-Retinopathy-Models
Diabetic Retinopathy Detection Using Deep Learning is a computer vision project focused on classifying retinal fundus images into different severity levels of diabetic retinopathy. Leveraging state-of-the-art pre-trained deep learning architectures like Resnet-50 and DenseNet, the project aims to provide accurate and early detection of the disease.
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Jan 06, 2025
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