Graph-enhanced deep learning for diabetic retinopathy diagnosis: A quality-aware and uncertainty-driven approach
Fig 4
Precision-recall curves for multiclass DR classification on the APTOS and Messidor-2 datasets using three different preprocessing methods: our pipeline with no preprocessing (left), CLAHE Preprocessing (middle), and Ben-Graham preprocessing (right).
MobileViT model on APTOS2019 dataset shows excellent performance, with minimal misclassification and high precision-recall (AP=1.00). DenseNet169 on the Messidor-2 dataset achieves high accuracy.