Table 3 Precision, recall, and F1-score for all models in brain tumour segmentation.
From: Enhanced brain tumour segmentation using a hybrid dual encoder–decoder model in federated learning
Model | Precision | Recall | F1-score |
|---|---|---|---|
U-Net | 0.85 | 0.89 | 0.87 |
UNet + + | 0.88 | 0.92 | 0.90 |
ResUNet | 0.87 | 0.91 | 0.89 |
Proposed Model (EfficientNet + Swin + BASNet + MaskFormer) | 0.93 | 0.95 | 0.94 |
