Medical Image Segmentation on Private Internal Dataset B (evaluation set)
88.9mDiceEchoONE
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| EchoONE2024.12 | 88.9 | 80.76 | 4.23 | |
| SAMUS2024.12 | 86.49 | 77.72 | 5.46 | |
| H2Former2024.12 | 83.85 | 74.63 | 6.02 | |
| DeepLabV3+2024.12 | 83.04 | 73.33 | 6.29 | |
| MSA2024.12 | 81.93 | 71.02 | 7.57 | |
| U-Net2024.12 | 77.35 | 66.95 | 7.86 | |
| SwinUNet2024.12 | 77.3 | 67.29 | 8.16 | |
| MedSAM2024.12 | 76.57 | 63.45 | 6.74 | |
| SAM-Med2D2024.12 | 76.02 | 67.23 | 8.1 | |
| SAMed2024.12 | 69.19 | 56.6 | 10.1 | |
| SAM2024.12 | 23.36 | 14.11 | 104.53 |