Interpretable machine learning for automated left ventricular scar quantification in hypertrophic cardiomyopathy patients

Interpretable machine learning for automated left ventricular scar quantification in hypertrophic cardiomyopathy patients

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Scar quantification on cardiovascular magnetic resonance (CMR) late gadolinium enhancement (LGE) images is important in risk stratifying patients with hypertrophic cardiomyopathy (HCM) due to the importance of scar burden in predicting clinical outcomes. We aimed to develop a machine learning (ML) m...

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Bibliographic Details
Main Authors: Zeinab Navidi, Jesse Sun, Raymond H. Chan, Kate Hanneman, Amna Al-Arnawoot, Alif Munim, Harry Rakowski, Martin S. Maron, Anna Woo, Bo Wang, Wendy Tsang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLOS Digital Health
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931226/?tool=EBI

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931226/?tool=EBI

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