Graph-enhanced deep learning for diabetic retinopathy diagnosis: A quality-aware and uncertainty-driven approach
Fig 6
(a) Training strategies were applied to OgD WC, OgD RS, and OgD, with the proposed method evaluated on APTOS. Our approach (black bar) consistently achieves the highest accuracy, F1-score, AUROC, AUPR, and Kappa, demonstrating superior classification performance and agreement.
(b) In comparison, our proposed approach outperforms SGD across all metrics, highlighting its better generalization and robustness.