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Erratum: Diagnosing Heart Failure from Chest X-Ray Images Using Deep Learning.
Matsumoto, Takuya; Kodera, Satoshi; Shinohara, Hiroki; Ieki, Hirotaka; Yamaguchi, Toshihiro; Higashikuni, Yasutomi; Kiyosue, Arihiro; Ito, Kaoru; Ando, Jiro; Takimoto, Eiki; Akazawa, Hiroshi; Morita, Hiroyuki; Komuro, Issei.
Afiliación
  • Matsumoto T; School of Medicine, Graduate School of Medicine, The University of Tokyo.
  • Kodera S; Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo.
  • Shinohara H; Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo.
  • Ieki H; Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo.
  • Yamaguchi T; Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo.
  • Higashikuni Y; Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo.
  • Kiyosue A; Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo.
  • Ito K; Laboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences.
  • Ando J; Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo.
  • Takimoto E; Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo.
  • Akazawa H; Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo.
  • Morita H; Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo.
  • Komuro I; Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo.
Int Heart J ; 61(5): 1088, 2020.
Article en En | MEDLINE | ID: mdl-32999191

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Int Heart J Asunto de la revista: CARDIOLOGIA Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Int Heart J Asunto de la revista: CARDIOLOGIA Año: 2020 Tipo del documento: Article