Research Article
Intelligent Dermatologist Tool for Classifying Multiple Skin Cancer Subtypes by Incorporating Manifold Radiomics Features Categories
Table 2
Classification accuracy of incorporating manifold feature levels.
| Incorporated manifold feature sets | Linear | Quadratic | Cubic |
| Single high-level features incorporated with low-level features | ResNet-50 + DWT-A | 95.7 | 96.1 | 96.2 | ResNet-50 + LBP | 96.1 | 96.4 | 96.4 | ResNet-50 + LBP + DWT-A | 96.5 | 96.9 | 96.8 | DarkNet-53 + DWT-A | 94.6 | 94.9 | 95.1 | DarkNet-53 + LBP | 95.8 | 96 | 96.1 | DarkNet-53 + DWT-A + LBP | 95.7 | 95.9 | 96 | DenseNet-201 + DWT-A | 96.5 | 97.1 | 97.2 | DenseNet-201 + LBP | 97.1 | 97.5 | 97.4 | DenseNet-201 + DWT-A + LBP | 97.5 | 97.9 | 97.9 |
| Two high-level feature sets incorporated | ResNet-50 + DarkNet-53 | 95.9 | 96.3 | 96.6 | ResNet-50 + DenseNet-201 | 97.7 | 98 | 98.1 | DenseNet-201 + DarkNet-53 | 97.9 | 98.1 | 98 |
| Two high-level feature sets incorporated with low-level feature sets | ResNet-50 + DenseNet-201 + DWT-A | 98.2 | 98.5 | 98.5 | ResNet-50 + DenseNet-201 + LBP | 97.8 | 98.1 | 98.1 | ResNet-50 + DenseNet-201 + DWT-A + LBP | 98.2 | 98.6 | 98.5 | ResNet-50 + DarkNet-53 + DWT-A | 96.4 | 96.9 | 96.9 | ResNet-50 + DarkNet-53 + LBP | 96.7 | 96.9 | 97 | DenseNet-201 + DarkNet-53 + DWT-A | 98.2 | 98.4 | 98.5 | DenseNet-201 + DarkNet-53 + LBP | 97.9 | 98.4 | 98.4 | DenseNet-201 + DarkNet-53 + DWT-A + LBP | 98.3 | 98.6 | 98.6 |
| Three high-level feature sets incorporated | ResNet-50 + DenseNet-201 + DarkNet-53 | 98.2 | 98.5 | 98.5 |
| Three high-level feature sets incorporated with low-level feature sets | ResNet-50 + DenseNet-201 + DarkNet-53 + DWT-A | 98.6 | 98.8 | 98.8 | ResNet-50 + DenseNet-201 + DarkNet-53 + LBP | 98.5 | 98.8 | 98.7 | ResNet-50 + DenseNet-201 + DarkNet-53 + DWT-A + LBP | 98.7 | 99 | 99 |
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