Prostate MRI Segmentation on UCL (Unseen)
89.22DiceDCA-Net(ours)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DCA-Net(ours)Training protocol=Domain Generalization, Loss functions=Lseg + Lcomp + Ldiv, PDP basis preceptors (N)=82021.09 | 89.22 | 1.09 | |
| DCA-Net(N=16)Training protocol=Domain Generalization, Loss functions=Lseg + Lcomp + Ldiv, PDP basis preceptors (N)=162021.09 | 88.64 | 1.18 | |
| DCA-Net*Training protocol=Domain Generalization, Loss functions=Lseg + Lcomp2021.09 | 88.28 | 1.23 | |
| DCA-Net(N=4)Training protocol=Domain Generalization, Loss functions=Lseg + Lcomp + Ldiv, PDP basis preceptors (N)=42021.09 | 88.03 | 1.29 | |
| MASFTraining protocol=Domain Generalization2021.09 | 87.43 | 1.91 | |
| BigAugTraining protocol=Domain Generalization2021.09 | 87.35 | 1.98 | |
| SAMLTraining protocol=Domain Generalization2021.09 | 86.96 | 1.56 | |
| DeepAllTraining protocol=DeepAll2021.09 | 86.87 | 2.25 |