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Quantitative estimation of pulmonary artery wedge pressure from chest radiographs by a regression convolutional neural network.
Saito, Yuki; Omae, Yuto; Fukamachi, Daisuke; Nagashima, Koichi; Mizobuchi, Saki; Kakimoto, Yohei; Toyotani, Jun; Okumura, Yasuo.
Afiliação
  • Saito Y; Division of Cardiology, Department of Medicine, Nihon University School of Medicine, 30-1 Ohyaguchi-kamicho, Itabashi-ku, Tokyo, 173-8610, Japan. saito.yuki@nihon-u.ac.jp.
  • Omae Y; Department of Industrial Engineering and Management, College of Industrial Technology, Nihon University, Chiba, Japan.
  • Fukamachi D; Division of Cardiology, Department of Medicine, Nihon University School of Medicine, 30-1 Ohyaguchi-kamicho, Itabashi-ku, Tokyo, 173-8610, Japan.
  • Nagashima K; Division of Cardiology, Department of Medicine, Nihon University School of Medicine, 30-1 Ohyaguchi-kamicho, Itabashi-ku, Tokyo, 173-8610, Japan.
  • Mizobuchi S; Division of Cardiology, Department of Medicine, Nihon University School of Medicine, 30-1 Ohyaguchi-kamicho, Itabashi-ku, Tokyo, 173-8610, Japan.
  • Kakimoto Y; Department of Industrial Engineering and Management, College of Industrial Technology, Nihon University, Chiba, Japan.
  • Toyotani J; Department of Industrial Engineering and Management, College of Industrial Technology, Nihon University, Chiba, Japan.
  • Okumura Y; Division of Cardiology, Department of Medicine, Nihon University School of Medicine, 30-1 Ohyaguchi-kamicho, Itabashi-ku, Tokyo, 173-8610, Japan.
Heart Vessels ; 37(8): 1387-1394, 2022 Aug.
Article em En | MEDLINE | ID: mdl-35220466

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Heart Vessels Assunto da revista: CARDIOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Japão

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Heart Vessels Assunto da revista: CARDIOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Japão