Table 2.

The performance metrics, including AUC, ACC, TPR, and TNR, for all three models

Model	Cohort	AUC(95% CI)	Accuracy	Sensitivity	Specificity
Rad	Training	0.828 (0.7866—0.8695)	0.751	0.702	0.794
	Validation	0.770 (0.6948—0.8449)	0.719	0.712	0.725
	External test	0.801 (0.6599—0.9426)	0.783	0.733	0.796
DLRresnet18	Training	0.837 (0.7965—0.8783)	0.773	0.839	0.714
	Validation	0.805 (0.7374—0.8729)	0.712	0.849	0.587
	External test	0.857 (0.7592—0.9544)	0.710	0.867	0.667
DLRresnet50	Training	0.847 (0.8075—0.8863)	0.776	0.780	0.772
	Validation	0.810(0.7433—0.8769)	0.732	0.808	0.662
	External test	0.860 (0.7433—0.8769)	0.783	0.800	0.778