Research Article
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 |
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