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Gastroenterology Report|July 28, 2021
Automatic anatomical classification of colonoscopic images using deep convolutional neural networksHiroaki Saito, Tetsuya Tanimoto, Tsuyoshi Ozawa, et al.
DEN Open|August 30, 2023
Cost-effectiveness analysis of the artificial intelligence diagnosis support system for early gastric cancersShion Yonazu, Tsuyoshi Ozawa, Tamiji Nakanishi, et al.
Gastrointestinal Endoscopy|June 8, 2020
Comparison of performances of artificial intelligence versus expert endoscopists for real-time assisted diagnosis of esophageal squamous cell carcinoma (with video)Hiromu Fukuda, Ryu Ishihara, Yusuke Kato, et al.
Endoscopy|May 8, 2026
Generative chromoendoscopy for gastric neoplasms: A multicenter prospective studySho Suzuki, Yusuke Monno, Hiroyuki Yamamoto, et al.
Ebiomedicine|October 24, 2017
Application of Convolutional Neural Networks in the Diagnosis of Helicobacter pylori Infection Based on Endoscopic ImagesSatoki Shichijo, Shuhei Nomura, Kazuharu Aoyama, et al.
Gastric Cancer : Official Journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association|January 17, 2018
Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic imagesToshiaki Hirasawa, Kazuharu Aoyama, Tetsuya Tanimoto, et al.
Gastrointestinal Endoscopy|May 19, 2020
Performance of a computer-aided diagnosis system in diagnosing early gastric cancer using magnifying endoscopy videos with narrow-band imaging (with videos)Yusuke Horiuchi, Toshiaki Hirasawa, Naoki Ishizuka, et al.
Gastrointestinal Endoscopy|July 23, 2023
Disease surveillance evaluation of primary small-bowel follicular lymphoma using capsule endoscopy images based on a deep convolutional neural network (with video)Akihiko Sumioka, Akiyoshi Tsuboi, Shiro Oka, et al.
Expert Review of Gastroenterology & Hepatology|June 6, 2020
Utilizing artificial intelligence in endoscopy: a clinician's guideKen Namikawa, Toshiaki Hirasawa, Toshiyuki Yoshio, et al.
Scandinavian Journal of Gastroenterology|March 19, 2019
Application of convolutional neural networks for evaluating Helicobacter pylori infection status on the basis of endoscopic imagesSatoki Shichijo, Yuma Endo, Kazuharu Aoyama, et al.
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