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. 2021 Nov 17;11(11):2131. doi: 10.3390/diagnostics11112131

Table 2.

Comparison of three different networks.

Network A P TPR F 1 AUC
3D AlexNet 0.769 0.773 0.810 0.791 0.899
3D VGG 0.769 0.800 0.762 0.780 0.860
3D ResNet 0.872 0.808 1.000 0.894 0.931

Experiment 1: Quantitative comparison of the classification quality of three different networks for one-fold. The best result for each metric is marked bold. A = accuracy; P = precision; TPR = true positive rate; F1 = F1 score; AUC = area under the curve.