Research Article
Skin Cancer Detection Using Kernel Fuzzy C-Means and Improved Neural Network Optimization Algorithm
Table 4
The classification results of INNA-SVM method based on different kernels in two databases.
| | Database | Kernel | ACC (%) | Pr (%) | SN (%) |
| | ACS [30] | Linear | 64.19 | 65.18 | 64.19 | | RBF | 37.57 | 38.09 | 37.57 | | Polynomial | 46.29 | 38.61 | 46.29 | | Sigmoid | 40.16 | 41.53 | 40.16 | | PH2 [31] | Linear | 70.00 | 69.00 | 71.00 | | RBF | 42.00 | 43.00 | 42.00 | | Polynomial | 51.00 | 45.00 | 51.00 | | Sigmoid | 42.50 | 46.00 | 53.00 |
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