3D Medical Image Segmentation on Pancreas 1.0 (20% labeled data)
82.91DiceBCP
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| BCPBackbone=V-Net, Pre-training stage=true2023.11 | 82.91 | 70.97 | 6.43 | 2.25 | |
| AD-MTBackbone=V-Net, Pre-training stage=false2023.11 | 82.61 | 70.7 | 4.94 | 1.38 | |
| PS-MTBackbone=V-Net, Pre-training stage=false2023.11 | 80.74 | 68.15 | 7.41 | 2.06 | |
| MC-Net+Backbone=V-Net, Pre-training stage=false2023.11 | 79.37 | 66.83 | 8.52 | 1.72 | |
| ASE-NetBackbone=V-Net, Pre-training stage=false2023.11 | 79.03 | 66.57 | 8.62 | 2.3 | |
| SS-NetBackbone=V-Net, Pre-training stage=false2023.11 | 78.98 | 66.32 | 8.86 | 2.01 | |
| DTCBackbone=V-Net, Pre-training stage=false2023.11 | 78.27 | 64.75 | 8.36 | 2.25 | |
| SASSNetBackbone=V-Net, Pre-training stage=false2023.11 | 77.66 | 64.08 | 10.93 | 3.05 | |
| UA-MTBackbone=V-Net, Pre-training stage=false2023.11 | 76.1 | 62.62 | 10.84 | 2.43 | |
| MCFBackbone=V-Net, Pre-training stage=false2023.11 | 75 | 61.27 | 11.59 | 3.27 | |
| VNetLearning mode=Supervised Only, Backbone=V-Net, Pre-training stage=false2023.11 | 72.38 | 58.26 | 19.35 | 5.89 |