Medical Image Segmentation on D1 (Trained on D2)
93.67Dice ScoreRater 1
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Rater 1Training Dataset=D22026.04 | 93.67 | 0.133 | |
| MonoUNetParams (k)=1.39, FLOPS (G)=0.15, Training Dataset=D22026.04 | 92.62 | 0.167 | |
| Rater 2Training Dataset=D22026.04 | 91.37 | 0.192 | |
| TinyU-NetParams (k)=481.17, FLOPS (G)=3.33, Training Dataset=D22026.04 | 80.92 | 0.332 | |
| CMUNeXt-SParams (k)=417.50, FLOPS (G)=2.18, Training Dataset=D22026.04 | 64.57 | 4.373 | |
| UNeXtParams (k)=1471.94, FLOPS (G)=4.59, Training Dataset=D22026.04 | 52.5 | 3.523 | |
| Med-NCAParams (k)=70.02, FLOPS (G)=310.31, Training Dataset=D22026.04 | 5.64 | 18.452 |