Medical Image Segmentation On Bkai Igh
Metrics
Average Dice
mIoU
Results
Performance results of various models on this benchmark
Model Name | Average Dice | mIoU | Paper Title | Repository |
|---|---|---|---|---|
| TGANet | 0.9023 | 0.8409 | - | - |
| ColonSegNet | 0.6881 | - | - | - |
| QTSeg | - | - | - | - |
| BlazeNeo | 0.78802 | - | - | - |
| FocalUNet | 0.8021 | - | - | - |
| NeoUNet | 0.80723 | - | - | - |
| EMCAD | 0.9296 | - | - | - |
| TransResU-Net | 0.9154 | 0.8568 | - | - |
| RaBiT | 0.94 | 0.886 | - | - |
0 of 9 row(s) selected.