Table 2 Comparison of segmentation performance of different methods.
From: Segmentation of liver CT images based on weighted medical transformer model
Model | F1 score/% | IoU fraction/% |
|---|---|---|
U-Net | 79.43 | 65.99 |
U-Net++ | 79.49 | 66.04 |
Res- U-Net | 79.49 | 66.07 |
Gated axial U-Net | 76.44 | 62.01 |
nn-Unet | 79.56 | 66.15 |
Weighted medical transformer | 79.58 | 66.19 |
