Prostate MRI Segmentation on BIDMC (Unseen)
86.78DiceDCA-Net(ours)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DCA-Net(ours)Training protocol=Domain Generalization, Loss functions=Lseg + Lcomp + Ldiv, PDP basis preceptors (N)=82021.09 | 86.78 | 1.58 | |
| DCA-Net(N=16)Training protocol=Domain Generalization, Loss functions=Lseg + Lcomp + Ldiv, PDP basis preceptors (N)=162021.09 | 86.46 | 1.64 | |
| SAMLTraining protocol=Domain Generalization2021.09 | 86.19 | 1.77 | |
| MASFTraining protocol=Domain Generalization2021.09 | 86.18 | 1.85 | |
| DCA-Net*Training protocol=Domain Generalization, Loss functions=Lseg + Lcomp2021.09 | 86.14 | 1.64 | |
| DCA-Net(N=4)Training protocol=Domain Generalization, Loss functions=Lseg + Lcomp + Ldiv, PDP basis preceptors (N)=42021.09 | 86.03 | 1.84 | |
| BigAugTraining protocol=Domain Generalization2021.09 | 85.53 | 1.9 | |
| DeepAllTraining protocol=DeepAll2021.09 | 84.48 | 2.18 |