Medical Image Segmentation on ACDC 10% labeled (test)
91.85DicennUNet-F
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| nnUNet-FTraining Supervision=Full Dataset (100% Labeled)2026.01 | 91.85 | 84.91 | — | — | |
| UNet-FTraining Supervision=Full Dataset (100% Labeled)2026.01 | 91.3 | 84.27 | — | — | |
| VQ-SegTraining Supervision=Semi-Supervised2026.01 | 91.03 | 83.27 | — | — | |
| ARCOTraining Supervision=Semi-Supervised2026.01 | 90.26 | 82.52 | — | — | |
| ABDTraining Supervision=Semi-Supervised2026.01 | 89.92 | 82.13 | — | — | |
| UnimatchTraining Supervision=Semi-Supervised2026.01 | 89.78 | 82.9 | — | — | |
| AD-MTlabeled data count=10%2023.11 | 89.46 | 81.47 | 1.51 | 0.44 | |
| SRA-SegLabeled (Real)=136 (10%), Unlabeled (Real)=0, Unlabeled (Synthetic)=1176 (90%)2026.02 | 89.34 | 81.24 | 3.03 | 1.14 | |
| SRA-SegLabeled (Real)=136 (10%), Unlabeled (Real)=1176 (90%), Unlabeled (Synthetic)=02026.02 | 88.99 | 81 | 2.82 | 0.83 | |
| PS-MTlabeled data count=10%2023.11 | 88.91 | 80.79 | 4.96 | 1.83 | |
| BCPlabeled data count=10%2023.11 | 88.84 | 80.62 | 3.98 | 1.17 | |
| BCPLabeled (Real)=136 (10%), Unlabeled (Real)=1176 (90%), Unlabeled (Synthetic)=02026.02 | 88.84 | 80.62 | 3.98 | 1.17 | |
| BCPTraining Supervision=Semi-Supervised2026.01 | 88.27 | 80.32 | — | — | |
| DiffRectLabeled (Real)=136 (10%), Unlabeled (Real)=0, Unlabeled (Synthetic)=1176 (90%)2026.02 | 88.14 | 79.65 | 5.72 | 1.6 | |
| CGSLabeled (Real)=136 (10%), Unlabeled (Real)=0, Unlabeled (Synthetic)=1176 (90%)2026.02 | 87.76 | 78.95 | 3.82 | 1.31 | |
| Cross-ALDLabeled Scans=7 (10%), Unlabeled Scans=63 (90%), Para. (M)=1.83, MACs(G)=2.992023.10 | 87.52 | 78.62 | 4.81 | 1.6 | |
| BCPLabeled (Real)=136 (10%), Unlabeled (Real)=0, Unlabeled (Synthetic)=1176 (90%)2026.02 | 87.46 | 78.53 | 5.3 | 1.62 | |
| MC-Net+labeled data count=10%2023.11 | 87.1 | 78.06 | 6.68 | 2 | |
| ABD(BCP)Labeled (Real)=136 (10%), Unlabeled (Real)=0, Unlabeled (Synthetic)=1176 (90%)2026.02 | 87.03 | 77.88 | 3.19 | 0.85 | |
| CPSlabeled data count=10%2023.11 | 86.91 | 78.11 | 5.72 | 1.92 | |
| SSNetTraining Supervision=Semi-Supervised2026.01 | 86.89 | 77.53 | — | — | |
| SS-NetLabeled Scans=7 (10%), Unlabeled Scans=63 (90%), Para. (M)=1.83, MACs(G)=2.992023.10 | 86.78 | 77.67 | 6.07 | 1.4 | |
| SS-Netlabeled data count=10%2023.11 | 86.78 | 77.67 | 6.07 | 1.4 | |
| MC-NetLabeled Scans=7 (10%), Unlabeled Scans=63 (90%), Para. (M)=2.58, MACs(G)=5.392023.10 | 86.44 | 77.04 | 5.5 | 1.84 | |
| MCNetTraining Supervision=Semi-Supervised2026.01 | 86.21 | 77.01 | — | — | |
| CrossMatchLabeled (Real)=136 (10%), Unlabeled (Real)=0, Unlabeled (Synthetic)=1176 (90%)2026.02 | 85.26 | 76.28 | 3.72 | 1 | |
| SASSNetLabeled Scans=7 (10%), Unlabeled Scans=63 (90%), Para. (M)=1.81, MACs(G)=3.022023.10 | 84.5 | 74.34 | 5.42 | 1.86 | |
| SASSNetlabeled data count=10%2023.11 | 84.5 | 74.34 | 5.42 | 1.86 | |
| DTCLabeled Scans=7 (10%), Unlabeled Scans=63 (90%), Para. (M)=1.81, MACs(G)=3.022023.10 | 84.29 | 73.92 | 12.81 | 4.01 | |
| DTClabeled data count=10%2023.11 | 84.29 | 73.92 | 12.81 | 4.01 | |
| UA-MTTraining Supervision=Semi-Supervised2026.01 | 84.23 | 73.82 | — | — | |
| URPCLabeled Scans=7 (10%), Unlabeled Scans=63 (90%), Para. (M)=1.83, MACs(G)=3.022023.10 | 83.1 | 72.41 | 4.84 | 1.53 | |
| URPClabeled data count=10%2023.11 | 83.1 | 72.41 | 4.84 | 1.53 | |
| UA-MTLabeled Scans=7 (10%), Unlabeled Scans=63 (90%), Para. (M)=1.81, MACs(G)=2.992023.10 | 81.65 | 70.64 | 6.88 | 2.02 | |
| UA-MTlabeled data count=10%2023.11 | 81.65 | 70.64 | 6.88 | 2.02 | |
| nnUNet-STraining Supervision=Labeled Subset Only (10%)2026.01 | 81.13 | 70.4 | — | — | |
| UNet-STraining Supervision=Labeled Subset Only (10%)2026.01 | 79.52 | 68.82 | — | — | |
| U-NetLabeled Scans=7 (10%), Unlabeled Scans=0, Para. (M)=1.81, MACs(G)=2.992023.10 | 79.41 | 68.11 | 9.35 | 2.7 | |
| U-Net (SupOnly)labeled data count=10%2023.11 | 79.41 | 68.11 | 9.35 | 2.7 | |
| UNetLabeled (Real)=136, Unlabeled (Real)=0, Unlabeled (Synthetic)=02026.02 | 79.41 | 68.11 | 9.35 | 2.7 |