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Automated detection of left ventricle in arterial input function images for inline perfusion mapping using deep learning: A study of 15,000 patients.
Xue, Hui; Tseng, Ethan; Knott, Kristopher D; Kotecha, Tushar; Brown, Louise; Plein, Sven; Fontana, Marianna; Moon, James C; Kellman, Peter.
Afiliação
  • Xue H; National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
  • Tseng E; National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
  • Knott KD; Barts Heart Centre, London, UK.
  • Kotecha T; National Amyloidosis Centre, Royal Free Hospital, London, UK.
  • Brown L; Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
  • Plein S; Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
  • Fontana M; National Amyloidosis Centre, Royal Free Hospital, London, UK.
  • Moon JC; Barts Heart Centre, London, UK.
  • Kellman P; National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Magn Reson Med ; 84(5): 2788-2800, 2020 11.
Article em En | MEDLINE | ID: mdl-32378776
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Ventrículos do Coração Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Ventrículos do Coração Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article