Cardiac Segmentation on Cardiac b-SSFP MRI
71.26DSC (LV-BP)GeoProto
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| GeoProtoBackbone=ResNet-101, Training Source=Abdominal CT, Evaluation Scenario=Cross-context, Few-shot Protocol=1-way 1-shot2026.05 | 71.26 | 46.75 | 65.09 | 61.03 | |
| PATNetEvaluation Mode=Cross-context, Trained on=Abdominal CT2025.12 | 69.88 | 46.09 | 52.97 | 56.31 | |
| PATNetBackbone=ResNet-101, Training Source=Abdominal CT, Evaluation Scenario=Cross-context, Few-shot Protocol=1-way 1-shot2026.05 | 69.88 | 46.09 | 52.97 | 56.31 | |
| RPTEvaluation Mode=Cross-context, Trained on=Abdominal CT2025.12 | 69.35 | 42.79 | 53.11 | 55.08 | |
| RPTBackbone=ResNet-101, Training Source=Abdominal CT, Evaluation Scenario=Cross-context, Few-shot Protocol=1-way 1-shot2026.05 | 69.35 | 42.79 | 53.11 | 55.08 | |
| IFAEvaluation Mode=Cross-context, Trained on=Abdominal CT2025.12 | 66.42 | 27.89 | 39.78 | 44.7 | |
| IFABackbone=ResNet-101, Training Source=Abdominal CT, Evaluation Scenario=Cross-context, Few-shot Protocol=1-way 1-shot2026.05 | 66.42 | 27.89 | 39.78 | 44.7 | |
| C-GraphEvaluation Mode=Cross-context, Trained on=Abdominal CT2025.12 | 63.7 | 46.32 | 66 | 58.67 | |
| C-GraphBackbone=ResNet-101, Training Source=Abdominal CT, Evaluation Scenario=Cross-context, Few-shot Protocol=1-way 1-shot2026.05 | 63.7 | 46.32 | 66 | 58.6 | |
| PMNetEvaluation Mode=Cross-context, Trained on=Abdominal CT2025.12 | 62.42 | 21.34 | 57.93 | 47.23 | |
| PMNetBackbone=ResNet-101, Training Source=Abdominal CT, Evaluation Scenario=Cross-context, Few-shot Protocol=1-way 1-shot2026.05 | 62.42 | 21.34 | 57.93 | 47.23 | |
| SSL-ALPEvaluation Mode=Cross-context, Trained on=Abdominal CT2025.12 | 61.18 | 27.14 | 48.45 | 45.59 | |
| SSL-ALPBackbone=ResNet-101, Training Source=Abdominal CT, Evaluation Scenario=Cross-context, Few-shot Protocol=1-way 1-shot2026.05 | 61.18 | 27.14 | 48.45 | 45.59 | |
| FAMNetEvaluation Mode=Cross-context, Trained on=Abdominal CT2025.12 | 58.44 | 33 | 51.34 | 47.59 | |
| FAMNetBackbone=ResNet-101, Training Source=Abdominal CT, Evaluation Scenario=Cross-context, Few-shot Protocol=1-way 1-shot2026.05 | 58.44 | 33 | 51.34 | 47.59 | |
| ADNetEvaluation Mode=Cross-context, Trained on=Abdominal CT2025.12 | 46.61 | 28.47 | 42.93 | 39.34 | |
| ADNetBackbone=ResNet-101, Training Source=Abdominal CT, Evaluation Scenario=Cross-context, Few-shot Protocol=1-way 1-shot2026.05 | 46.61 | 28.47 | 42.93 | 39.34 | |
| APM-MEvaluation Mode=Cross-context, Trained on=Abdominal CT2025.12 | 44.3 | 31.17 | 45.18 | 40.22 | |
| APM-MBackbone=ResNet-101, Training Source=Abdominal CT, Evaluation Scenario=Cross-context, Few-shot Protocol=1-way 1-shot2026.05 | 44.3 | 31.17 | 45.18 | 40.22 | |
| GMRDEvaluation Mode=Cross-context, Trained on=Abdominal CT2025.12 | 41.45 | 28.36 | 38.59 | 36.13 | |
| GMRDBackbone=ResNet-101, Training Source=Abdominal CT, Evaluation Scenario=Cross-context, Few-shot Protocol=1-way 1-shot2026.05 | 41.45 | 28.36 | 38.59 | 36.13 | |
| RobustEMDEvaluation Mode=Cross-context, Trained on=Abdominal CT2025.12 | 37.77 | 41.44 | 42.48 | 40.56 | |
| RobustEMDBackbone=ResNet-101, Training Source=Abdominal CT, Evaluation Scenario=Cross-context, Few-shot Protocol=1-way 1-shot2026.05 | 37.77 | 41.44 | 42.48 | 40.56 | |
| PANetEvaluation Mode=Cross-context, Trained on=Abdominal CT2025.12 | 29.69 | 19.1 | 26.78 | 25.19 |