Table 4 Performance of transformer enhanced pre-trained models.
Class | Label | Accuracy | Precision | Recall | F1-Score | MCC |
|---|---|---|---|---|---|---|
Transformer Enhanced ResNet50V2 | Liver Cirrhosis | 0.93 | 0.76 | 1.00 | 0.86 | 0.895 |
| Â | Fatty Liver | Â | 1.00 | 0.85 | 0.92 | Â |
| Â | Hcc | Â | 1.00 | 1.00 | 1.00 | Â |
Transformer Enhanced DenseNet121 | Liver Cirrhosis | 0.88 | 1.00 | 1.00 | 1.00 | 0.61 |
| Â | Fatty Liver | Â | 1.00 | 0.76 | 0.86 | Â |
| Â | Hcc | Â | 0.71 | 1.00 | 0.83 | Â |
Transformer Enhanced MobileNetV2 | Liver Cirrhosis | 0.87 | 1.00 | 1.00 | 1.00 | 0.561 |
| Â | Fatty Liver | Â | 1.00 | 0.73 | 0.84 | Â |
| Â | Hcc | Â | 0.69 | 1.00 | 0.82 | Â |
