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Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI.
Hamm, Charlie A; Wang, Clinton J; Savic, Lynn J; Ferrante, Marc; Schobert, Isabel; Schlachter, Todd; Lin, MingDe; Duncan, James S; Weinreb, Jeffrey C; Chapiro, Julius; Letzen, Brian.
Afiliação
  • Hamm CA; Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA.
  • Wang CJ; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Institute of Radiology, Humboldt-Universität, 10117, Berlin, Germany.
  • Savic LJ; Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA.
  • Ferrante M; Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA.
  • Schobert I; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Institute of Radiology, Humboldt-Universität, 10117, Berlin, Germany.
  • Schlachter T; Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA.
  • Lin M; Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA.
  • Duncan JS; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Institute of Radiology, Humboldt-Universität, 10117, Berlin, Germany.
  • Weinreb JC; Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA.
  • Chapiro J; Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA.
  • Letzen B; Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA.
Eur Radiol ; 29(7): 3338-3347, 2019 Jul.
Article em En | MEDLINE | ID: mdl-31016442
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Carcinoma Hepatocelular / Aprendizado Profundo / Neoplasias Hepáticas Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Carcinoma Hepatocelular / Aprendizado Profundo / Neoplasias Hepáticas Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos