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

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

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.

Afiliação

Navidi Z; Division of Cardiology, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada.
Sun J; Department of Computer Science, University of Toronto, Toronto, Canada.
Chan RH; Vector Institute, Toronto, Canada.
Hanneman K; Division of Cardiology, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada.
Al-Arnawoot A; Division of Cardiology, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada.
Munim A; Department of Radiology, University Health Network, University of Toronto, Toronto, Canada.
Rakowski H; Department of Radiology, University Health Network, University of Toronto, Toronto, Canada.
Maron MS; Vector Institute, Toronto, Canada.
Woo A; Division of Cardiology, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada.
Wang B; Division of Cardiology, Tufts Medical Center, Boston, United States of America.
Tsang W; Division of Cardiology, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada.

PLOS Digit Health ; 2(1): e0000159, 2023 Jan.

Article em En | MEDLINE | ID: mdl-36812626

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: PLOS Digit Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Canadá

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