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Comparison results for the proposed model with only distance loss function and end-to-end subsequent segmentation framework on the testing dataset.
| Boundary detection network | End-to-end learning | |
|---|---|---|
| Dice | 0.9427±0.0453 | 0.9451±0.0315 |
| MD | 2.9189±1.9823 | 2.6822±1.4634 |
| Time (sec) | 3.75 | 0.18 |
