Medical Image Segmentation on Private Internal Dataset D (evaluation set)
90.63mDiceEchoONE
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| EchoONE2024.12 | 90.63 | 83.33 | 3.89 | |
| H2Former2024.12 | 89.18 | 81.37 | 4.47 | |
| DeepLabV3+2024.12 | 88.31 | 79.97 | 4.95 | |
| SAMUS2024.12 | 88.18 | 80.29 | 4.85 | |
| U-Net2024.12 | 87.51 | 78.63 | 5.5 | |
| SwinUNet2024.12 | 87.18 | 78.34 | 5.68 | |
| SAM-Med2D2024.12 | 86.72 | 78.02 | 5.14 | |
| MSA2024.12 | 86.48 | 76.95 | 5.52 | |
| MedSAM2024.12 | 84.14 | 74.58 | 5.83 | |
| SAMed2024.12 | 80.82 | 69.34 | 7.81 | |
| SAM2024.12 | 29.21 | 18.22 | 101.73 |