Table 8 Quantitative comparison with classification models from the literature
Method | Accuracy (%) | Precision (%) | Recall (%) | F1-score (%) | Sensitivity (%) | Specificity (%) |
|---|---|---|---|---|---|---|
[46] | 81.00 | 83.00 | 77.00 | 80.00 | - | - |
[45] | 85.32 | - | - | 78.96 | 85.24 | 88.57 |
URepNet-v1 + SVM (linear) [57] | 77.44 | 68.67 | 64.38 | 64.50 | - | - |
URepNet-v2 + SVM (linear) [57] | 77.59 | 66.30 | 66.19 | 65.67 | - | - |
URepNet-v3 + SVM (linear) [57] | 80.06 | 75.47 | 62.05 | 65.21 | - | - |
Ours (ViT-B/16) | 86.00 | 86.11 | 86.02 | 85.93 | 86.45 | 85.26 |
Ours (MLP-Mixer-B/16) | 84.13 | 84.49 | 84.13 | 84.09 | 89.42 | 79.64 |