Prostate MRI Segmentation on ISBI (Unseen)
90.61DiceDCA-Net(ours)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DCA-Net(ours)Training protocol=Domain Generalization, Loss functions=Lseg + Lcomp + Ldiv, PDP basis preceptors (N)=82021.09 | 90.61 | 1.12 | |
| DCA-Net*Training protocol=Domain Generalization, Loss functions=Lseg + Lcomp2021.09 | 90.24 | 1.15 | |
| DCA-Net(N=16)Training protocol=Domain Generalization, Loss functions=Lseg + Lcomp + Ldiv, PDP basis preceptors (N)=162021.09 | 90.24 | 1.11 | |
| DCA-Net(N=4)Training protocol=Domain Generalization, Loss functions=Lseg + Lcomp + Ldiv, PDP basis preceptors (N)=42021.09 | 90.22 | 1.19 | |
| SAMLTraining protocol=Domain Generalization2021.09 | 88.89 | 1.38 | |
| MASFTraining protocol=Domain Generalization2021.09 | 88.7 | 1.69 | |
| BigAugTraining protocol=Domain Generalization2021.09 | 88.62 | 1.7 | |
| DeepAllTraining protocol=DeepAll2021.09 | 87.87 | 2.05 |