Detecting early gastric cancer: Comparison between the diagnostic ability of convolutional neural networks and endoscopists-Reference-Cited by-同舟云学术

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

Published:2020-06-02 Issue:1 Volume:33 Page:141-150
ISSN:0915-5635
Container-title:Digestive Endoscopy
language:en
Short-container-title:Digestive Endoscopy

Author:

Ikenoyama Yohei¹²^ORCID,Hirasawa Toshiaki¹³^ORCID,Ishioka Mitsuaki¹^ORCID,Namikawa Ken¹,Yoshimizu Shoichi¹^ORCID,Horiuchi Yusuke¹,Ishiyama Akiyoshi¹,Yoshio Toshiyuki¹³^ORCID,Tsuchida Tomohiro¹,Takeuchi Yoshinori⁴^ORCID,Shichijo Satoki⁵^ORCID,Katayama Naoyuki²,Fujisaki Junko¹,Tada Tomohiro⁶³

Affiliation:

1. Department of Gastroenterology Cancer Institute Hospital Japanese Foundation for Cancer Research TokyoJapan

2. Department of Hematology and Oncology Mie University Graduate School of Medicine MieJapan

3. Tada Tomohiro Institute of Gastroenterology and Proctology SaitamaJapan

4. Department of Biostatistics School of Public Health Graduate School of Medicine The University of Tokyo TokyoJapan

5. Department of Gastrointestinal Oncology Osaka International Cancer Institute Osaka Japan

6. AI Medical Service Inc TokyoJapan

Publisher

Wiley

Subject

Gastroenterology,Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/den.13688

Reference34 articles.

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5. Improving the detection rate of early gastric cancer requires more than open access gastroscopy: a five year study

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