Table 1 Comparison of segmentation performance of different methods.
From: Segmentation of liver CT images based on weighted medical transformer model
Model | F1 score/% | IoU fraction/% | ACC score/% |
|---|---|---|---|
U-Net | 74.12 | 58.43 | 94.36 |
U-Net++ | 82.79 | 75.02 | 97.02 |
Axial attention U-Net | 75.15 | 60.97 | 96.53 |
Gated axial U-Net | 86.91 | 76.85 | 97.83 |
nn-Unet | 88.24 | 79.12 | 98.15 |
Weighted medical transformer | 88.48 | 79.41 | 98.49 |
