Literature DB >> 30449050

Detecting gastric cancer from video images using convolutional neural networks.

Mitsuaki Ishioka1, Toshiaki Hirasawa1, Tomohiro Tada2,3,4.   

Abstract

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Year:  2018        PMID： 30449050     DOI： 10.1111/den.13306

Source DB:  PubMed          Journal:  Dig Endosc        ISSN： 0915-5635            Impact factor:   7.559


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  9 in total

Review 1.  Artificial Intelligence for Upper Gastrointestinal Endoscopy: A Roadmap from Technology Development to Clinical Practice.

Authors:  Francesco Renna; Miguel Martins; Alexandre Neto; António Cunha; Diogo Libânio; Mário Dinis-Ribeiro; Miguel Coimbra
Journal:  Diagnostics (Basel)       Date:  2022-05-21

2.  Convolutional Neural Network for Differentiating Gastric Cancer from Gastritis Using Magnified Endoscopy with Narrow Band Imaging.

Authors:  Yusuke Horiuchi; Kazuharu Aoyama; Yoshitaka Tokai; Toshiaki Hirasawa; Shoichi Yoshimizu; Akiyoshi Ishiyama; Toshiyuki Yoshio; Tomohiro Tsuchida; Junko Fujisaki; Tomohiro Tada
Journal:  Dig Dis Sci       Date:  2019-10-04       Impact factor: 3.199

Review 3.  Challenge in the new era: Translational medicine in gastrointestinal endoscopy and early cancer.

Authors:  Yang Yu; Yan-Hua Yin; Li Min; Sheng-Tao Zhu; Peng Li; Shu-Tian Zhang
Journal:  Chronic Dis Transl Med       Date:  2020-01-08

Review 4.  Deep learning for gastroscopic images: computer-aided techniques for clinicians.

Authors:  Ziyi Jin; Tianyuan Gan; Peng Wang; Zuoming Fu; Chongan Zhang; Qinglai Yan; Xueyong Zheng; Xiao Liang; Xuesong Ye
Journal:  Biomed Eng Online       Date:  2022-02-11       Impact factor: 2.819

Review 5.  Gastric Cancer Screening in Japan: A Narrative Review.

Authors:  Kazuo Yashima; Michiko Shabana; Hiroki Kurumi; Koichiro Kawaguchi; Hajime Isomoto
Journal:  J Clin Med       Date:  2022-07-26       Impact factor: 4.964

Review 6.  Implementation of artificial intelligence in upper gastrointestinal endoscopy.

Authors:  Sayaka Nagao; Yasuhiro Tani; Junichi Shibata; Yosuke Tsuji; Tomohiro Tada; Ryu Ishihara; Mitsuhiro Fujishiro
Journal:  DEN open       Date:  2022-03-15

7.  Multi-center verification of the influence of data ratio of training sets on test results of an AI system for detecting early gastric cancer based on the YOLO-v4 algorithm.

Authors:  Tao Jin; Yancai Jiang; Boneng Mao; Xing Wang; Bo Lu; Ji Qian; Hutao Zhou; Tieliang Ma; Yefei Zhang; Sisi Li; Yun Shi; Zhendong Yao
Journal:  Front Oncol       Date:  2022-08-16       Impact factor: 5.738

Review 8.  Usefulness of artificial intelligence in gastric neoplasms.

Authors:  Ji Hyun Kim; Seung-Joo Nam; Sung Chul Park
Journal:  World J Gastroenterol       Date:  2021-06-28       Impact factor: 5.742

9.  Detecting early gastric cancer: Comparison between the diagnostic ability of convolutional neural networks and endoscopists.

Authors:  Yohei Ikenoyama; Toshiaki Hirasawa; Mitsuaki Ishioka; Ken Namikawa; Shoichi Yoshimizu; Yusuke Horiuchi; Akiyoshi Ishiyama; Toshiyuki Yoshio; Tomohiro Tsuchida; Yoshinori Takeuchi; Satoki Shichijo; Naoyuki Katayama; Junko Fujisaki; Tomohiro Tada
Journal:  Dig Endosc       Date:  2020-06-02       Impact factor: 6.337
  9 in total

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