Medical Image Segmentation on QUBIQ All
0.7814BDiceDice Semimetric Losses
Evaluation results
| Method | Links | |
|---|---|---|
| Dice Semimetric LossesBackbone=UNet-ResNet502023.03 | 0.7814 | |
| SoftSegBackbone=UNet-ResNet502023.03 | 0.7634 | |
| MRNetBackbone=UNet-ResNet502023.03 | 0.7618 | |
| Multi-headBackbone=UNet-ResNet502023.03 | 0.7597 | |
| DropoutBackbone=UNet-ResNet502023.03 | 0.7503 |