Segmentation on CREMI
99.9Correlation (Corr.)Perc
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| PercBackbone=2D U-Net, Loss=Perceptual loss, Feature Extractor=VGG192025.04 | 99.9 | 98.8 | 98.7 | 88.9 | 91.6 | 91.2 | |
| clDiceBackbone=2D U-Net, Loss=clDice loss2025.04 | 99 | 96.5 | 95.7 | 79.3 | 82.3 | 81.2 | |
| MSEBackbone=2D U-Net, Loss=MSE loss (LMSE)2025.04 | 98.3 | 99.6 | 97.9 | 85.4 | 81.9 | 79.5 | |
| CAPEBackbone=2D U-Net2025.04 | 98.3 | 99.8 | 98.1 | 88.7 | 93.6 | 93.5 | |
| InvMALISBackbone=2D U-Net, Loss=Inverse MALIS2025.04 | 98.2 | 99.7 | 97.9 | 87.9 | 91.9 | 92.4 |