An Improved CNN Architecture to Diagnose Skin Cancer in Dermoscopic Images Based on Wildebeest Herd Optimization Algorithm

Table 3

The simulation results of the suggested method compared with other state-of-the-art methods.

Method	Performance metric
	DS	ACC	SNS	SPC	NPV	PPV
Dorj’s [25]	0.91	0.90	0.93	0.91	0.95	0.85
Linsangan’s [26]	0.89	0.84	0.19	0.64	0.87	0.69
Thanh’s [6]	0.87	0.85	0.87	0.88	0.88	0.81
Khan’s [2]	0.88	0.73	0.86	0.63	0.85	0.62
Angurana’s [27]	0.91	0.76	0.84	0.79	0.88	0.78
Proposed method	0.94	0.96	0.96	0.95	0.97	0.89