Medical Image Segmentation on Private Internal Dataset C (evaluation set)
85.54mDiceEchoONE
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| EchoONE2024.12 | 85.54 | 75.82 | 5.45 | |
| H2Former2024.12 | 83.18 | 72.67 | 6.24 | |
| SAMUS2024.12 | 81.91 | 71.58 | 5.12 | |
| DeepLabV3+2024.12 | 81.83 | 70.99 | 6.54 | |
| MedSAM2024.12 | 81 | 69.42 | 6.55 | |
| SwinUNet2024.12 | 80.24 | 68.89 | 7.04 | |
| U-Net2024.12 | 79.21 | 68.2 | 6.82 | |
| MSA2024.12 | 78.74 | 66.39 | 8.3 | |
| SAM-Med2D2024.12 | 71.55 | 59.75 | 9.57 | |
| SAMed2024.12 | 69.04 | 55.29 | 9.16 | |
| SAM2024.12 | 31.53 | 20.79 | 68.71 |