Skip to main content
. 2022 Dec 12;13(2):1009–1022. doi: 10.21037/qims-22-799

Figure 2.

Figure 2

ROC curves and the AUCs of the four models evaluated. The 3D CA-ResNet further outperformed the conventional networks, 3D VGG, 3D ResNet, and 3D SE-ResNet, with significant differences among different ROCs (P<0.05). AUC, area under the curve; CA, coordinate attention; 3D, three-dimensional; ResNet, residual network; ROC, receiver operating characteristic; SE-ResNet, squeeze-and-excitation residual network; VGG, visual geometry group.