Development of a computer-aided detection system for colonoscopy and a publicly accessible large colonoscopy video database (with video)-Reference-Cited by-同舟云学术

Development of a computer-aided detection system for colonoscopy and a publicly accessible large colonoscopy video database (with video)

Published:2021-04 Issue:4 Volume:93 Page:960-967.e3
ISSN:0016-5107
Container-title:Gastrointestinal Endoscopy
language:en
Short-container-title:Gastrointestinal Endoscopy

Author:

Misawa Masashi,Kudo Shin-ei,Mori Yuichi,Hotta Kinichi,Ohtsuka Kazuo,Matsuda Takahisa,Saito Shoichi,Kudo Toyoki,Baba Toshiyuki,Ishida Fumio,Itoh Hayato,Oda Masahiro,Mori Kensaku

Funder

Japan Agency for Medical Research and Development

Japan Society for the Promotion of Science

Publisher

Elsevier BV

Subject

Gastroenterology,Radiology, Nuclear Medicine and imaging

Reference21 articles.

1. Polyp miss rate determined by tandem colonoscopy: a systematic review;van Rijn;Am J Gastroenterol,2006

2. Postcolonoscopy colorectal cancers are preventable: a population-based study;le Clercq;Gut,2014

3. Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy;Wang;Nat Biomed Eng,2018

4. Deep learning localizes and identifies polyps in real time with 96% accuracy in screening colonoscopy;Urban;Gastroenterology,2018

5. Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy;Yamada;Sci Rep,2019

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