Table 4.

Classification evaluation performance of the individual pre-trained deep learning models.

Pre-trained Models	ACC	SEN	SPE	PRE	F1-score	AUC
DenseNet201	0.9695	0.9542	0.9771	0.9551	0.9544	0.9657
VGG16	0.9585	0.9378	0.9689	0.9392	0.9378	0.9533
GoogleNet	0.9446	0.9169	0.9584	0.9214	0.9178	0.9377
EfficientNetB7	0.9276	0.8913	0.9457	0.9214	0.8930	0.9185
InceptResNetV2	0.9444	0.9167	0.9583	0.9197	0.9169	0.9375
Xception	0.9579	0.9369	0.9684	0.9397	0.9374	0.9527