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Diabetic Retinopathy Detection with VGG-16 by pranavjha.et21 is a document available to read on EtoBox.

What is Diabetic Retinopathy Detection with VGG-16 about?

The document discusses a study on diabetic retinopathy (DR) detection using the VGG-16 deep learning architecture, highlighting the significance of early detection to prevent vision loss in diabetic patients. It introduces a Pre-Synthetic Minority Oversampling Technique (Pre-SMOTE) to address the issue of unbalanced datasets, achieving an accuracy of 79.99% in classifying DR severity levels. The methodology includes image preprocessing, data augmentation, and training the VGG-16 model, demonstrating improve

Author

pranavjha.et21

Language

EN