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Prediction of visceral pleural invasion of clinical stage I lung adenocarcinoma using thoracoscopic images and deep learning.
Shimada, Yoshifumi; Ojima, Toshihiro; Takaoka, Yutaka; Sugano, Aki; Someya, Yoshiaki; Hirabayashi, Kenichi; Homma, Takahiro; Kitamura, Naoya; Akemoto, Yushi; Tanabe, Keitaro; Sato, Fumitaka; Yoshimura, Naoki; Tsuchiya, Tomoshi.
Afiliação
  • Shimada Y; Department of Thoracic Surgery, University of Toyama, 2630 Sugitani, Toyama, Japan.
  • Ojima T; Department of Thoracic Surgery, University of Toyama, 2630 Sugitani, Toyama, Japan.
  • Takaoka Y; Data Science Center for Medicine and Hospital Management, Toyama University Hospital, 2630 Sugitani, Toyama, Japan.
  • Sugano A; Center for Data Science and Artificial Intelligence Research Promotion, Toyama University Hospital, 2630 Sugitani, Toyama, Japan.
  • Someya Y; Data Science Center for Medicine and Hospital Management, Toyama University Hospital, 2630 Sugitani, Toyama, Japan.
  • Hirabayashi K; Center for Clinical Research, Toyama University Hospital, 2630 Sugitani, Toyama, Japan.
  • Homma T; Center for Data Science and Artificial Intelligence Research Promotion, Toyama University Hospital, 2630 Sugitani, Toyama, Japan.
  • Kitamura N; Department of Diagnostic Pathology, University of Toyama, 2630 Sugitani, Toyama, Japan.
  • Akemoto Y; Department of Thoracic Surgery, University of Toyama, 2630 Sugitani, Toyama, Japan.
  • Tanabe K; Department of Thoracic Surgery, University of Toyama, 2630 Sugitani, Toyama, Japan.
  • Sato F; Department of Thoracic Surgery, University of Toyama, 2630 Sugitani, Toyama, Japan.
  • Yoshimura N; Department of Thoracic Surgery, University of Toyama, 2630 Sugitani, Toyama, Japan.
  • Tsuchiya T; Department of Thoracic Surgery, University of Toyama, 2630 Sugitani, Toyama, Japan.
Surg Today ; 2023 Oct 20.
Article em En | MEDLINE | ID: mdl-37864054
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Japão
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Japão