Table 6.
Class-wise classification results for PTr, ViT, EfficientNetB7, and MobileNetV3. The F1-score, Precision, and Recall of the Transformer and CNN models using data segmentation approaches, as well as the evaluation metrics values for each class, are displayed
| Model | Class | Recall % | Precision % | F1-score % |
|---|---|---|---|---|
| PTr | Benign | 99.96 | 99.00 | 99.95 |
| Malignant | 99.00 | 99.98 | 99.99 | |
| ViT | Benign | 99.00 | 99.00 | 99.00 |
| Malignant | 98.00 | 99.00 | 99.00 | |
| EfficientNetB7 | Benign | 98.00 | 92.00 | 95.00 |
| Malignant | 92.00 | 99.00 | 95.00 | |
| MobileNetV3 | Benign | 95.00 | 95.00 | 95.00 |
| Malignant | 94.00 | 94.00 | 94.00 |