Application of convolutional neural networks for evaluating the depth of invasion of early gastric cancer based on endoscopic images-Reference-Cited by-同舟云学术

Application of convolutional neural networks for evaluating the depth of invasion of early gastric cancer based on endoscopic images

Published:2021-11-25 Issue:2 Volume:37 Page:352-357
ISSN:0815-9319
Container-title:Journal of Gastroenterology and Hepatology
language:en
Short-container-title:J of Gastro and Hepatol

Author:

Hamada Kenta¹²^ORCID,Kawahara Yoshiro²,Tanimoto Takayoshi³,Ohto Akimitsu⁴,Toda Akira³,Aida Toshiaki⁵,Yamasaki Yasushi⁶,Gotoda Tatsuhiro⁶,Ogawa Taiji⁶,Abe Makoto⁶,Okanoue Shotaro⁶,Takei Kensuke⁶,Kikuchi Satoru⁷,Kuroda Shinji⁷,Fujiwara Toshiyoshi⁷,Okada Hiroyuki⁶

Affiliation:

1. Department of Endoscopy Okayama University Hospital Okayama Japan

2. Department of Practical Gastrointestinal Endoscopy Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Okayama Japan

3. Business Strategy Division Ryobi Systems Co., Ltd. Okayama Japan

4. Health Care Company Ryobi Systems Co., Ltd. Okayama Japan

5. Okayama University Graduate School of Interdisciplinary Science and Engineering in Health Systems Okayama Japan

6. Department of Gastroenterology and Hepatology Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Okayama Japan

7. Department of Gastroenterological Surgery Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Okayama Japan

Publisher

Wiley

Subject

Gastroenterology,Hepatology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jgh.15725

Reference19 articles.

1. Japanese gastric cancer treatment guidelines 2018 (5th edition)

2. Incidence of lymph node metastasis from early gastric cancer: estimation with a large number of cases at two large centers

3. Number of lymph node metastases and its prognostic significance in early gastric cancer: A multicenter italian study

4. Guidelines for endoscopic diagnosis of early gastric cancer

5. Comparison of endoscopic ultrasonography and conventional endoscopy for prediction of depth of tumor invasion in early gastric cancer

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