Unsupervised cardiac segmentation utilizing synthesized images from anatomical labels
Cardiac segmentation is in great demand for clinical practice. Due to the enormous labor of manual delineation, unsupervised segmentation is desired. The ill-posed optimization problem of this task is inherently challenging, requiring well-designed constraints. In this work, we propose an unsupervis...
| Main Authors: | , , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Springer Nature
2023
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