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The cross-validation accuracy for the retrained classifier for differentiating among healthier, NoDR, and DR eyes was 87.27%, with 83.76% susceptibility and 90.82% specificity. The AUC metrics for binary classification of healthy, NoDR, and DR eyes had been 0.97, 0.98, and 0.97, correspondingly. The GUI system allowed effortless validation associated with way of AI evaluating of DR in a clinical environment. With a transfer discovering process for retraining, a CNN can be utilized f