TABLE 8.

Performance metric of the RIMONE dataset using different CNN models.

CNN model	AUC	ACC	SEN	SP	PRE	FM	GM
ResNet50	0.9721	0.9253	0.9200	0.9294	0.9109	0.9154	0.9247
VGG19	0.9330	0.8747	0.8900	0.8627	0.8357	0.8620	0.8763
AlexNet	0.9089	0.7604	0.4950	0.9686	0.9252	0.6450	0.6924
Dns201	0.9513	0.8945	0.8450	0.9333	0.9086	0.8756	0.8881
IncRes	0.9509	0.8989	0.8600	0.9294	0.9053	0.8821	0.8940
Fusion	—	0.9495	0.9447	0.9843	0.9540	0.9447	0.9493

Bold values are showing the model results after applying classifier fusion operation.