Segmentation on EchoNet-Dynamic
93.1Dice CoefficientEchoVLM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| EchoVLM2025.12 | 93.1 | — | |
| EchoApextype=Vision foundation model2025.12 | 92.8 | — | |
| Specialisttype=Task-specific model2025.12 | 91.5 | — | |
| EchoONE2024.12 | 88.36 | 79.65 | |
| SAMUS2024.12 | 87.56 | 79.49 | |
| DeepLabV3+2024.12 | 87.35 | 78.23 | |
| H2Former2024.12 | 86.71 | 77.01 | |
| MedSAMtype=Task-specific model2025.12 | 86.5 | — | |
| SwinUNet2024.12 | 86.47 | 76.75 | |
| U-Net2024.12 | 85.29 | 75.59 | |
| MSA2024.12 | 84.09 | 74.34 | |
| MedSAM2024.12 | 83.67 | 73.63 | |
| SAMed2024.12 | 80.22 | 68.17 | |
| SAMMed-2D2024.12 | 77.49 | 68.07 | |
| SAM2024.12 | 27.86 | 16.81 |