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AI analysis and modified type classification for endocytoscopic observation of esophageal lesions.
Kumagai, Youichi; Takubo, Kaiyo; Sato, Taku; Ishikawa, Hiroyasu; Yamamoto, Eisuke; Ishiguro, Toru; Hatano, Satoshi; Toyomasu, Yoshitaka; Kawada, Kenro; Matsuyama, Takatoshi; Mochiki, Erito; Ishida, Hideyuki; Tada, Tomohiro.
Affiliation
  • Kumagai Y; Department of Digestive Tract and General Surgery, Saitama Medical Center, Saitama Medical University, Saitama, Japan.
  • Takubo K; Research Team for Geriatric Pathology, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
  • Sato T; Department of Digestive Tract and General Surgery, Saitama Medical Center, Saitama Medical University, Saitama, Japan.
  • Ishikawa H; Department of Digestive Tract and General Surgery, Saitama Medical Center, Saitama Medical University, Saitama, Japan.
  • Yamamoto E; Department of Digestive Tract and General Surgery, Saitama Medical Center, Saitama Medical University, Saitama, Japan.
  • Ishiguro T; Department of Digestive Tract and General Surgery, Saitama Medical Center, Saitama Medical University, Saitama, Japan.
  • Hatano S; Department of Digestive Tract and General Surgery, Saitama Medical Center, Saitama Medical University, Saitama, Japan.
  • Toyomasu Y; Department of Digestive Tract and General Surgery, Saitama Medical Center, Saitama Medical University, Saitama, Japan.
  • Kawada K; Department of Surgery, Tokyo Medical and Dental University, Tokyo, Japan.
  • Matsuyama T; Department of Digestive Tract and General Surgery, Saitama Medical Center, Saitama Medical University, Saitama, Japan.
  • Mochiki E; Department of Digestive Tract and General Surgery, Saitama Medical Center, Saitama Medical University, Saitama, Japan.
  • Ishida H; Department of Digestive Tract and General Surgery, Saitama Medical Center, Saitama Medical University, Saitama, Japan.
  • Tada T; AI Medical Service Inc., Tokyo, Japan.
Dis Esophagus ; 35(9)2022 Sep 14.
Article in En | MEDLINE | ID: mdl-35292794
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Endoscopy Type of study: Prognostic_studies Limits: Humans Language: En Journal: Dis Esophagus Journal subject: GASTROENTEROLOGIA Year: 2022 Document type: Article Affiliation country: Japón Country of publication: Estados Unidos
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Endoscopy Type of study: Prognostic_studies Limits: Humans Language: En Journal: Dis Esophagus Journal subject: GASTROENTEROLOGIA Year: 2022 Document type: Article Affiliation country: Japón Country of publication: Estados Unidos