Medical Image Segmentation on Brain US
88.84F1 ScoreMedT
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MedTType=Proposed2021.02 | 88.84 | 81.34 | |
| LoGoType=Proposed2021.02 | 88.54 | 80.84 | |
| Gated Axial Attn.Type=Proposed2021.02 | 88.39 | 80.7 | |
| Axial Attention U-NetType=Fully Attention Baseline2021.02 | 87.92 | 80.14 | |
| Res-UNetType=Convolutional Baselines2021.02 | 87.5 | 79.61 | |
| U-Net++Type=Convolutional Baselines2021.02 | 86.59 | 79.95 | |
| U-NetType=Convolutional Baselines2021.02 | 85.37 | 79.31 | |
| FCNType=Convolutional Baselines2021.02 | 82.79 | 75.02 |