Table II. Comparison of mediastinal and abdominal LN detection results using various CNN models. Numbers in bold indicate the best performance values on classification accuracy.

Region	Mediastinum		Abdomen
Method	AUC	TPR/3FP	AUC	TPR/3FP
[41]	-	0.63	-	0.70
[22]	0.92	0.70	0.94	0.83
[36]	-	0.78	-	0.78
CifarNet	0.91	0.70	0.81	0.44
AlexNet-ImNet	0.89	0.63	0.80	0.41
AlexNet-RI-H	0.94	0.79	0.92	0.67
AlexNet-TL-H	0.94	0.81	0.92	0.69
GoogLeNet-RI-H	0.85	0.61	0.80	0.48
GoogLeNet-TL-H	0.94	0.81	0.92	0.70
AlexNet-RI-L	0.94	0.77	0.88	0.61
GoogLeNet-RI-L	0.95	0.85	0.91	0.69
Combined	0.95	0.85	0.93	0.70