Semi-supervised segmentation of cardiac chambers from LGE-CMR using feature consistency awareness

Semi-supervised segmentation of cardiac chambers from LGE-CMR using feature consistency awareness

Abstract Background Late gadolinium enhancement cardiac magnetic resonance imaging (LGE-CMR) is a valuable cardiovascular imaging technique. Segmentation of cardiac chambers from LGE-CMR is a fundamental step in electrophysiological modeling and cardiovascular disease diagnosis. Deep learning method...

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Bibliographic Details
Main Authors: Hairui Wang, Helin Huang, Jing Wu, Nan Li, Kaihao Gu, Xiaomei Wu
Format: Article
Language:English
Published: BMC 2024-10-01
Series:BMC Cardiovascular Disorders
Subjects:
LGE-CMR
Segmentation
Semi-supervised learning
Consistency
Contrastive learning
Online Access:https://doi.org/10.1186/s12872-024-04250-x
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https://doi.org/10.1186/s12872-024-04250-x

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