Table 3.
Single model performance for the whole brain segmentation task. Models are trained with the same training/validation data.
| Method | Colin |
CANDI |
||
|---|---|---|---|---|
| DSC | HD | DSC | HD | |
| nnUNet (Isensee et al., 2021) | 0.7062 | 14.0101 | 0.3930 | inf |
| TransBTS (Wang et al., 2021a) | 0.6542 | inf | 0.5991 | inf |
| nnFormer (Zhou et al., 2021a) | 0.7007 | 10.423 | 0.6420 | inf |
| CoTr (Xie et al., 2021b) | 0.7268 | 10.2561 | 0.6923 | inf |
| UNETR (Hatamizadeh et al., 2022) | 0.7328 | 10.216 | 0.6810 | 13.3172 |
| SwinUNETR (Tang et al., 2022) | 0.6853 | 21.4812 | 0.6536 | 34.5212 |
| SLANT (Huo et al., 2019) | 0.7301 | 9.9470 | 0.6977 | 9.5000 |
|
| ||||
| UNesT | 0.7467 | 11.0358 | 0.7022 | 8.8902 |