Table 5.
Results without CycleGAN.
| Network | Accuracy (%) | Precision (%) | Recall (%) | F1-score (%) | AUC (%) | ECE |
|---|---|---|---|---|---|---|
| Densenet-121 | 88.05 ± 3.81 | 80.94 ± 5.55 | 93.18 ± 3.70 | 87.36 ± 3.63 | 96.71 ± 2.80 | 0.118 ± 0.130 |
| EfficientNet-B3 | 94.69 ± 2.04 | 92.55 ± 3.40 | 96.77 ± 1.57 | 94.09 ± 2.19 | 99.03 ± 0.66 | 0.067 ± 0.012 |
| Resnet-50 | 94.69 ± 1.15 | 90.31 ± 2.21 | 98.74 ± 0.48 | 94.25 ± 1.15 | 99.43 ± 0.20 | 0.060 ± 0.025 |
| ResNeSt-50 | 96.30 ± 2.31 | 93.96 ± 3.00 | 98.02 ± 2.43 | 95.97 ± 2.53 | 99.60 ± 1.18 | 0.020 ± 0.007 |
| ViT | 99.60 ± 0.79 | 99.46 ± 1.39 | 99.64 ± 0.38 | 99.55 ± 0.88 | 99.99 ± 0.10 | 0.014 ± 0.007 |