Diversity-enhanced consistency learning for label-efficient cardiac image segmentation
Cardiovascular diseases are among the leading causes of death worldwide, highlighting the need for automated cardiac structure analysis on MRI to improve diagnostic accuracy. While supervised learning has significantly advanced medical image segmentation, relying on annotated datasets continues to b...
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| Main Authors: | , , |
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| Format: | Default Conference proceeding |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/29416754.v1 |
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