Medical Image Classification Based on Deep Features Extracted by Deep Model and Statistic Feature Fusion with Multilayer Perceptron^‬

Table 6

Comparison of the AUCs on the ISIC dataset.

Algorithm	The AUC of ROC
SVM (traditional feature)	0.7209
Coding network	0.8087
CNMP	0.9585
R feature fusion	0.9436
SVM (traditional and deep feature)	0.8210
KPCA feature fusion	0.9326