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What is Early Detection of Diabetic Retinopathy about?

This research develops a convolutional neural network (CNN) for the early detection and severity classification of diabetic retinopathy (DR) using the APTOS dataset of fundus images. The proposed models achieved high validation accuracy, with the binary classifier at 96.2%, while the early detection and severity classification models showed 86% and 79.4% accuracy, respectively. The study highlights the effectiveness of neural networks in diagnosing DR but indicates the need for further improvements in sever

Author

suppsguru950

Language

EN