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Rib fracture detection in computed tomography images using deep convolutional neural networks.
Kaiume, Masafumi; Suzuki, Shigeru; Yasaka, Koichiro; Sugawara, Haruto; Shen, Yun; Katada, Yoshiaki; Ishikawa, Takuya; Fukui, Rika; Abe, Osamu.
Afiliação
  • Kaiume M; Department of Radiology, Tokyo Women's Medical University Medical Center East, Arakawa-ku.
  • Suzuki S; Department of Radiology, Graduate School of Medicine, University of Tokyo, Bunkyo-ku.
  • Yasaka K; Department of Radiology, Tokyo Women's Medical University Medical Center East, Arakawa-ku.
  • Sugawara H; Department of Radiology, The Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo, Japan.
  • Shen Y; Department of Radiology, The Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo, Japan.
  • Katada Y; Department of Radiology, Tokyo Women's Medical University Medical Center East, Arakawa-ku.
  • Ishikawa T; Department of Radiology, Tokyo Women's Medical University Medical Center East, Arakawa-ku.
  • Fukui R; Department of Radiology, Tokyo Women's Medical University Medical Center East, Arakawa-ku.
  • Abe O; Department of Radiology, Tokyo Women's Medical University Medical Center East, Arakawa-ku.
Medicine (Baltimore) ; 100(20): e26024, 2021 May 21.
Article em En | MEDLINE | ID: mdl-34011107

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fraturas das Costelas / Interpretação de Imagem Radiográfica Assistida por Computador / Tomografia Computadorizada por Raios X / Aprendizado Profundo Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fraturas das Costelas / Interpretação de Imagem Radiográfica Assistida por Computador / Tomografia Computadorizada por Raios X / Aprendizado Profundo Idioma: En Ano de publicação: 2021 Tipo de documento: Article