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Application of convolutional neural networks for evaluating the depth of invasion of early gastric cancer based on endoscopic images.
Hamada, Kenta; Kawahara, Yoshiro; Tanimoto, Takayoshi; Ohto, Akimitsu; Toda, Akira; Aida, Toshiaki; Yamasaki, Yasushi; Gotoda, Tatsuhiro; Ogawa, Taiji; Abe, Makoto; Okanoue, Shotaro; Takei, Kensuke; Kikuchi, Satoru; Kuroda, Shinji; Fujiwara, Toshiyoshi; Okada, Hiroyuki.
Afiliação
  • Hamada K; Department of Endoscopy, Okayama University Hospital, Okayama, Japan.
  • Kawahara Y; Department of Practical Gastrointestinal Endoscopy, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
  • Tanimoto T; Department of Practical Gastrointestinal Endoscopy, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
  • Ohto A; Business Strategy Division, Ryobi Systems Co., Ltd., Okayama, Japan.
  • Toda A; Health Care Company, Ryobi Systems Co., Ltd., Okayama, Japan.
  • Aida T; Business Strategy Division, Ryobi Systems Co., Ltd., Okayama, Japan.
  • Yamasaki Y; Okayama University Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama, Japan.
  • Gotoda T; Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
  • Ogawa T; Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
  • Abe M; Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
  • Okanoue S; Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
  • Takei K; Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
  • Kikuchi S; Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
  • Kuroda S; Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
  • Fujiwara T; Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
  • Okada H; Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
J Gastroenterol Hepatol ; 37(2): 352-357, 2022 Feb.
Article em En | MEDLINE | ID: mdl-34713495
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Redes Neurais de Computação / Detecção Precoce de Câncer Tipo de estudo: Diagnostic_studies / Screening_studies Limite: Humans Idioma: En Revista: J Gastroenterol Hepatol Assunto da revista: GASTROENTEROLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Japão
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Redes Neurais de Computação / Detecção Precoce de Câncer Tipo de estudo: Diagnostic_studies / Screening_studies Limite: Humans Idioma: En Revista: J Gastroenterol Hepatol Assunto da revista: GASTROENTEROLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Japão