Table 2.
Mean DSC metrics for the CSD and MLD validation set, with the best models in the four-fold cross-validation set highlighted in bold
| Dataset | Fold | U-Net | V-Net | UNETR | SwinUNETR |
|---|---|---|---|---|---|
| CSD | Fold 0 | 0.688 | 0.826 | 0.825 | 0.860 |
| Fold 1 | 0.686 | 0.817 | 0.825 | 0.864 | |
| Fold 2 | 0.679 | 0.819 | 0.816 | 0.857 | |
| Fold 3 | 0.704 | 0.826 | 0.832 | 0.848 | |
| MLD | Fold 0 | 0.574 | 0.628 | 0.612 | 0.657 |
| Fold 1 | 0.597 | 0.641 | 0.629 | 0.684 | |
| Fold 2 | 0.589 | 0.637 | 0.607 | 0.654 | |
| Fold 3 | 0.603 | 0.622 | 0.625 | 0.664 |
CSD Cerebrovascular segmentation dataset, MLD Middle cerebral artery M1 segment with lenticulostriate artery segmentation dataset