Prostate MRI Segmentation on ISBI 1.5 (Unseen)
88.31Dice Coefficient (%)DCA-Net(ours)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DCA-Net(ours)Training protocol=Domain Generalization, Loss functions=Lseg + Lcomp + Ldiv, PDP basis preceptors (N)=82021.09 | 88.31 | 1.14 | |
| DCA-Net*Training protocol=Domain Generalization, Loss functions=Lseg + Lcomp2021.09 | 88.12 | 1.16 | |
| DCA-Net(N=16)Training protocol=Domain Generalization, Loss functions=Lseg + Lcomp + Ldiv, PDP basis preceptors (N)=162021.09 | 87.24 | 1.31 | |
| SAMLTraining protocol=Domain Generalization2021.09 | 87.17 | 1.46 | |
| DCA-Net(N=4)Training protocol=Domain Generalization, Loss functions=Lseg + Lcomp + Ldiv, PDP basis preceptors (N)=42021.09 | 87.06 | 1.31 | |
| BigAugTraining protocol=Domain Generalization2021.09 | 86.22 | 1.56 | |
| MASFTraining protocol=Domain Generalization2021.09 | 86.2 | 1.54 | |
| DeepAllTraining protocol=DeepAll2021.09 | 85.37 | 1.82 |