Table 7 Extensive report on classification using segmentation techniques. (The models PTr, ViT, EfficientNetB7, and MoileNetV3 were compared based on average precision, recall, and F1-score values)
From: Segmentation for mammography classification utilizing deep convolutional neural network
Method | Recall % | Precision % | F1-score % |
|---|---|---|---|
PTr | 99.98 | 99.97 | 99.97 |
ViT | 99.00 | 99.00 | 99.00 |
EfficientNetB7 | 95.00 | 95.00 | 95.00 |
MobileNetV3 | 94.00 | 94.00 | 94.00 |