Table 10.

Lesion classification performances of different frameworks.

Method	AUC	AC	AP	SE	SP
AlexNet [46]	0.859	0.823	0.651	0.343	0.969
VGG-16 [47]	0.892	0.847	0.709	0.586	0.919
ResNet-50 [33]	0.873	0.723	0.690	0.845	0.694
ResNet-101 [33]	0.869	0.840	0.712	0.336	0.986
Inception-v3 [40]	0.800	0.800	0.564	0.355	0.933
LIN(Ours)	0.912	0.857	0.729	0.490	0.961