A YOLOv8 and SVM pipeline for grading diabetic retinopathy reports 84% accuracy, but the claim lacks the dataset details, code, and error bars needed for verification.
Segmentation of retinal blood vessels using artificial neural networks for early detection of diabetic retinopathy,
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Diagnosis of diabetic retinopathy using machine learning & deep learning technique
A YOLOv8 and SVM pipeline for grading diabetic retinopathy reports 84% accuracy, but the claim lacks the dataset details, code, and error bars needed for verification.