Table 2.

The performance of the 3D-CNN optimal model in internal test set and external test set

Parameters	Internal test set			External test set
	3D-CNN optimal model	Radiologist1	Radiologist2	3D-CNN optimal model	Radiologist1	Radiologist2
Accuracy	0.989	0.805	0.828	0.934	0.803	0.803
AUC (95%CI)	0.988 (0.962–1.000)	0.804 (0.708–0.901)	0.827 (0.735–0.920)	0.933 (0.860–1.000)	0.804 (0.682–0.894)	0.803 (0.686–0.919)
Corrected AUC	0.989	0.806	0.829	0.932	0.802	0.800
Sensitivity/recall	1.000	0.818	0.841	1.000	0.774	0.839
Specificity	0.977	0.791	0.814	0.867	0.833	0.767
PPV/precision	0.978	0.800	0.822	0.886	0.828	0.788
NPV	1.000	0.810	0.833	1.000	0.781	0.821
F1-score	0.989	0.809	0.831	0.939	0.800	0.813

AUC Area-sunder-the-curve, PPV Positive predictive value, NPV Negative predictive value