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A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue.
Nirschl, Jeffrey J; Janowczyk, Andrew; Peyster, Eliot G; Frank, Renee; Margulies, Kenneth B; Feldman, Michael D; Madabhushi, Anant.
Afiliação
  • Nirschl JJ; Department of Physiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
  • Janowczyk A; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States of America.
  • Peyster EG; Cardiovascular Research Institute, University of Pennsylvania, Philadelphia, PA, United States of America.
  • Frank R; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
  • Margulies KB; Cardiovascular Research Institute, University of Pennsylvania, Philadelphia, PA, United States of America.
  • Feldman MD; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
  • Madabhushi A; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States of America.
PLoS One ; 13(4): e0192726, 2018.
Article em En | MEDLINE | ID: mdl-29614076
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Interpretação de Imagem Assistida por Computador / Redes Neurais de Computação / Insuficiência Cardíaca Tipo de estudo: Guideline / Prognostic_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Interpretação de Imagem Assistida por Computador / Redes Neurais de Computação / Insuficiência Cardíaca Tipo de estudo: Guideline / Prognostic_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article