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Scandinavian Journal of Gastroenterology Volume 54, 2019 - Issue 2
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Original Article

Application of convolutional neural networks for evaluating Helicobacter pylori infection status on the basis of endoscopic images

Satoki ShichijoDepartment of Gastrointestinal Oncology, Osaka International Cancer Institute, Osaka, Japan; Correspondence[email protected]
,
Yuma EndoAI Medical Service, Tokyo, Japan;
,
Kazuharu AoyamaAI Medical Service, Tokyo, Japan;
,
Yoshinori TakeuchiDepartment of Biostatistics, School of Public Health, Graduate School of Medicine, University of Tokyo, Tokyo, Japan;
,
Tsuyoshi OzawaDepartment of colorectal surgery, Teikyo University Hospital, Tokyo, Japan;
,
Hirotoshi TakiyamaHospital of National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan;
,
Keigo MatsuoDepartment of Gastroenterology, Tokatsu-Tsujinaka Hospital, Chiba, Japan;
,
Mitsuhiro FujishiroDepartment of Gastroenterology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan; ;Department of Gastroenterology, Graduate School of Medicine, Nagoya University, Nagoya, Japan;
,
Soichiro IshiharaDepartment of Surgical Oncology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan;
,
Ryu IshiharaDepartment of Gastrointestinal Oncology, Osaka International Cancer Institute, Osaka, Japan;
&
Tomohiro TadaAI Medical Service, Tokyo, Japan; ;Department of Surgical Oncology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan; ;Tada Tomohiro Institute of Gastroenterology and Proctology, Saitama, Japan
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Pages 158-163 | Received 14 Dec 2018, Accepted 26 Jan 2019, Published online: 17 Mar 2019

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Huangming Zhuang, Anyu Bao, Yulin Tan, Hanyu Wang, Qingfang Xie, Meiqi Qiu, Wanli Xiong & Fei Liao. (2022) Application and prospect of artificial intelligence in digestive endoscopy. Expert Review of Gastroenterology & Hepatology 16:1, pages 21-31.
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