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

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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Detalles Bibliográficos
Autores principales:	Navidi, Zeinab, Sun, Jesse, Chan, Raymond H., Hanneman, Kate, Al-Arnawoot, Amna, Munim, Alif, Rakowski, Harry, Maron, Martin S., Woo, Anna, Wang, Bo, Tsang, Wendy
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2023
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931226/ https://www.ncbi.nlm.nih.gov/pubmed/36812626 http://dx.doi.org/10.1371/journal.pdig.0000159

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