Table 6.

Performance of the state-of-the-art networks on the validation set of dataset2.

Model name	Specificity	Sensitivity	F1	Precision	AUC	Accuracy
AlexNet	0.7586	0.7333	0.7458	0.7586	0.7957	0.7458
GoogLeNet	0.6552	0.4667	0.5185	0.5833	0.6293	0.5593
SqueezeNet	0.5517	0.7167	0.6667	0.6232	0.6293	0.6356
VGG16	0.6724	0.7500	0.7258	0.7031	0.7888	0.7119
XceptionNet	0.6897	0.6333	0.6552	0.6786	0.6718	0.6610
ResNet18	0.7069	0.7333	0.7273	0.7213	0.8491	0.7203
ResNet101	0.7759	0.6167	0.6727	0.7400	0.7787	0.6949
DenseNet201	0.8276	0.7000	0.7500	0.8077	0.8678	0.7627