Table 8 Loss and accuracy for the best models
From: Segmentation for mammography classification utilizing deep convolutional neural network
Model | Accuracy % | Â | Loss% | Â |
|---|---|---|---|---|
| Â | Validation | Test | Train | Validation |
PTr | 99.96 | 99.87 | 0.13 | 0.15 |
ViT | 98.67 | 98.43 | 0.23 | 0.31 |
EfficientNetB7 | 95.00 | 94.22 | 0.68 | 1.19 |
MobileNetV3 | 94.00 | 93.16 | 0.78 | 1.27 |