3D Medical Image Segmentation on Pancreas 1.0 (10% labeled data)
0.8021Dice CoefficientAD-MT
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| AD-MTBackbone=V-Net, Pre-training stage=false2023.11 | 0.8021 | 0.6751 | 7.18 | 1.66 | |
| CrossMatch#Scans used (Lab.)=6(10%), #Scans used (Unlab.)=56(90%)2024.05 | 0.7969 | 0.6693 | 11.18 | 2.64 | |
| PS-MTBackbone=V-Net, Pre-training stage=false2023.11 | 0.7694 | 0.6237 | 13.12 | 3.66 | |
| RCPS#Scans used (Lab.)=6(10%), #Scans used (Unlab.)=56(90%)2024.05 | 0.7662 | — | 16.32 | 3.01 | |
| BCPBackbone=V-Net, Pre-training stage=true2023.11 | 0.7383 | 0.5924 | 12.71 | 3.72 | |
| SS-NetBackbone=V-Net, Pre-training stage=false2023.11 | 0.7176 | 0.5705 | 17.56 | 5.77 | |
| ASE-NetBackbone=V-Net, Pre-training stage=false2023.11 | 0.7154 | 0.5682 | 16.33 | 5.73 | |
| MC-Net+Backbone=V-Net, Pre-training stage=false2023.11 | 0.7 | 0.5566 | 16.03 | 3.87 | |
| UniMatch#Scans used (Lab.)=6(10%), #Scans used (Unlab.)=56(90%)2024.05 | 0.699 | 0.5513 | 12.94 | 3.56 | |
| DTCBackbone=V-Net, Pre-training stage=false2023.11 | 0.6921 | 0.5406 | 17.21 | 5.95 | |
| SASSNetBackbone=V-Net, Pre-training stage=false2023.11 | 0.6878 | 0.5386 | 19.02 | 6.26 | |
| UA-MTBackbone=V-Net, Pre-training stage=false2023.11 | 0.6634 | 0.5321 | 17.21 | 4.57 | |
| DTC#Scans used (Lab.)=6(10%), #Scans used (Unlab.)=56(90%)2024.05 | 0.5954 | 0.4561 | 16.53 | 3.12 | |
| SASSNet#Scans used (Lab.)=6(10%), #Scans used (Unlab.)=56(90%)2024.05 | 0.5623 | 0.4198 | 26.16 | 8.97 | |
| VNetLearning mode=Supervised Only, Backbone=V-Net, Pre-training stage=false2023.11 | 0.556 | 0.4174 | 45.33 | 18.63 | |
| UA-MT#Scans used (Lab.)=6(10%), #Scans used (Unlab.)=56(90%)2024.05 | 0.5307 | 0.389 | 25.11 | 9.22 | |
| V-Net#Scans used (Lab.)=6(10%), #Scans used (Unlab.)=02024.05 | 0.4256 | 0.3671 | 42.61 | 11.68 |