Prostate MRI Segmentation on HK (Unseen)
89.97DiceDCA-Net(N=4)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DCA-Net(N=4)Training protocol=Domain Generalization, Loss functions=Lseg + Lcomp + Ldiv, PDP basis preceptors (N)=42021.09 | 89.97 | 0.89 | |
| DCA-Net(ours)Training protocol=Domain Generalization, Loss functions=Lseg + Lcomp + Ldiv, PDP basis preceptors (N)=82021.09 | 89.17 | 1.02 | |
| DCA-Net*Training protocol=Domain Generalization, Loss functions=Lseg + Lcomp2021.09 | 88.9 | 0.97 | |
| DCA-Net(N=16)Training protocol=Domain Generalization, Loss functions=Lseg + Lcomp + Ldiv, PDP basis preceptors (N)=162021.09 | 88.76 | 1.02 | |
| SAMLTraining protocol=Domain Generalization2021.09 | 88.12 | 1.22 | |
| MASFTraining protocol=Domain Generalization2021.09 | 86.57 | 1.47 | |
| BigAugTraining protocol=Domain Generalization2021.09 | 85.83 | 1.75 | |
| DeepAllTraining protocol=DeepAll2021.09 | 85.58 | 1.82 |