Medical Image Segmentation on Private Internal Dataset A (evaluation set)
88.39mDiceEchoONE
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| EchoONE2024.12 | 88.39 | 79.64 | 4.27 | |
| H2Former2024.12 | 87.28 | 77.86 | 4.57 | |
| DeepLabV3+2024.12 | 87.26 | 77.98 | 4.69 | |
| U-Net2024.12 | 86.75 | 77.08 | 4.46 | |
| SwinUNet2024.12 | 86.39 | 76.59 | 4.85 | |
| SAMUS2024.12 | 85.82 | 76.69 | 4.95 | |
| SAMed2024.12 | 81.54 | 69.48 | 6.27 | |
| MedSAM2024.12 | 81.23 | 69.98 | 6.51 | |
| MSA2024.12 | 81.04 | 69.31 | 6.61 | |
| SAM-Med2D2024.12 | 78.12 | 67.97 | 7.07 | |
| SAM2024.12 | 37.01 | 25.11 | 50.09 |