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Application of artificial intelligence using convolutional neural networks in determining the invasion depth of esophageal squamous cell carcinoma.
Tokai, Yoshitaka; Yoshio, Toshiyuki; Aoyama, Kazuharu; Horie, Yoshimasa; Yoshimizu, Shoichi; Horiuchi, Yusuke; Ishiyama, Akiyoshi; Tsuchida, Tomohiro; Hirasawa, Toshiaki; Sakakibara, Yuko; Yamada, Takuya; Yamaguchi, Shinjiro; Fujisaki, Junko; Tada, Tomohiro.
Affiliation
  • Tokai Y; Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto, Tokyo, 135-8550, Japan.
  • Yoshio T; Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto, Tokyo, 135-8550, Japan. toshiyuki.yoshio@jfcr.or.jp.
  • Aoyama K; AI Medical Service Inc., Toshima, Tokyo, Japan.
  • Horie Y; Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto, Tokyo, 135-8550, Japan.
  • Yoshimizu S; Division of Gastroenterology and Hepatology, Department of Internal Medicine, Toho University Ohashi Medical Center, Meguro, Tokyo, Japan.
  • Horiuchi Y; Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto, Tokyo, 135-8550, Japan.
  • Ishiyama A; Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto, Tokyo, 135-8550, Japan.
  • Tsuchida T; Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto, Tokyo, 135-8550, Japan.
  • Hirasawa T; Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto, Tokyo, 135-8550, Japan.
  • Sakakibara Y; Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto, Tokyo, 135-8550, Japan.
  • Yamada T; Department of Gastroenterology, Osaka National Hospital, Osaka, Japan.
  • Yamaguchi S; Department of Gastroenterology, Osaka Rosai Hospital, Sakai, Osaka, Japan.
  • Fujisaki J; Department of Gastroenterology, Kansai Rosai Hospital, Amagasaki, Hyogo, Japan.
  • Tada T; Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto, Tokyo, 135-8550, Japan.
Esophagus ; 17(3): 250-256, 2020 07.
Article in En | MEDLINE | ID: mdl-31980977
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Esophageal Neoplasms / Artificial Intelligence / Endoscopic Mucosal Resection / Esophageal Squamous Cell Carcinoma Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Aged80 / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: Esophagus Year: 2020 Type: Article Affiliation country: Japan
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Esophageal Neoplasms / Artificial Intelligence / Endoscopic Mucosal Resection / Esophageal Squamous Cell Carcinoma Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Aged80 / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: Esophagus Year: 2020 Type: Article Affiliation country: Japan