Fig. 2: The ROC curves for ResNet-50, CNN, and MobileNet v3.
From: Clinically applicable optimized periprosthetic joint infection diagnosis via AI based pathology
This figure presents confusion matrices resulting from pairwise comparisons among three physicians and two models. a, b, and c represent ResNet-50, CNN, and MobileNet v3, respectively. The x-axis represents 1-specificity and the y-axis represents sensitivity. As 1-specificity increases, sensitivity rises. The AUC, the area under the curve, is close to 1, indicating high diagnostic performance.
