TABLE 7.

Performance metric of the ACRIMA dataset using different CNN models.

CNN model	AUC	ACC	SEN	SP	PRE	FM	GM
ResNet50	1.0000	0.9986	0.9975	1.0000	1.0000	0.9987	0.9987
VGG19	0.9989	0.9858	0.9798	0.9935	0.9949	0.9873	0.9866
AlexNet	0.9890	0.9461	0.9217	0.9773	0.9812	0.9505	0.9491
Dns201	0.9998	0.9901	0.9848	0.9968	0.9974	0.9911	0.9908
IncRes	0.9984	0.9291	0.8737	1.0000	1.0000	0.9326	0.9347
Fusion	—	0.9957	0.9962	1.0000	0.9952	0.9962	0.9957

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