3D Segmentation on BCV
88.55DSCPHTrans
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PHTransParams (M)=36.3, FLOPs (G)=187.4, ImageNet pre-trained=false2022.03 | 88.55 | 8.68 | |
| nnU-NetParams (M)=30.8, FLOPs (G)=313.22022.03 | 87.75 | 9.83 | |
| nnformerParams (M)=158.7, FLOPs (G)=171.9, ImageNet pre-trained=true2022.03 | 86.45 | 14.63 | |
| CoTrParams (M)=41.9, FLOPs (G)=318.52022.03 | 86.33 | 12.63 | |
| Swin UNETRParams (M)=61.98, FLOPs (G)=394.842022.03 | 85.78 | 17.75 | |
| UNETRParams (M)=92.6, FLOPs (G)=82.62022.03 | 79.42 | 29.27 |