3D Medical Image Segmentation on AMOS-CT (val)
90.5mDicennUNet
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| nnUNetParams (M)=30.76, FLOPs (G)=1067.89, Post-processing=true2023.12 | 90.5 | 1.31 | 83 | |
| E2ENetSparsity (s)=0.7, Params (M)=11.23, FLOPs (G)=969.32, Post-processing=true2023.12 | 90.3 | 1.54 | 82.7 | |
| E2ENetSparsity (s)=0.8, Params (M)=9.44, FLOPs (G)=778.74, Post-processing=true2023.12 | 90.3 | 1.65 | 82.5 | |
| E2ENetSparsity (s)=0.7, Params (M)=11.23, FLOPs (G)=969.32, Post-processing=false2023.12 | 90.1 | 1.54 | 82.3 | |
| nnUNetParams (M)=30.76, FLOPs (G)=1067.89, Post-processing=false2023.12 | 90 | 1.3 | 82.1 | |
| E2ENetSparsity (s)=0.8, Params (M)=9.44, FLOPs (G)=778.74, Post-processing=false2023.12 | 90 | 1.65 | 82.3 | |
| E2ENetSparsity (s)=0.9, Params (M)=7.64, FLOPs (G)=492.29, Post-processing=true2023.12 | 89.9 | 1.89 | 81.8 | |
| E2ENetSparsity (s)=0.9, Params (M)=7.64, FLOPs (G)=492.29, Post-processing=false2023.12 | 89.6 | 1.88 | 81.4 | |
| Swin UNETRParams (M)=62.83, FLOPs (G)=1562.99, Post-processing=false2023.12 | 86.4 | 1.14 | 75.3 | |
| nnFormerParams (M)=150.14, FLOPs (G)=1343.65, Post-processing=false2023.12 | 85.6 | 1.12 | 74.2 | |
| VNetParams (M)=45.65, FLOPs (G)=1737.57, Post-processing=false2023.12 | 82 | 1.1 | 67.9 | |
| UNETRParams (M)=93.02, FLOPs (G)=391.03, Post-processing=false2023.12 | 78.3 | 1.41 | 61.5 | |
| CoTrParams (M)=41.87, FLOPs (G)=1510.53, Post-processing=false2023.12 | 77.1 | 1.07 | 64.2 |