Comprehensive review of publicly available colonoscopic imaging databases for artificial intelligence research: availability, accessibility, and usability-Reference-Cited by-同舟云学术

Comprehensive review of publicly available colonoscopic imaging databases for artificial intelligence research: availability, accessibility, and usability

Published:2023-02 Issue:2 Volume:97 Page:184-199.e16
ISSN:0016-5107
Container-title:Gastrointestinal Endoscopy
language:en
Short-container-title:Gastrointestinal Endoscopy

Author:

Houwen Britt B.S. L.,Nass Karlijn J.,Vleugels Jasper L.A.,Fockens Paul,Hazewinkel Yark,Dekker Evelien

Publisher

Elsevier BV

Subject

Gastroenterology,Radiology, Nuclear Medicine and imaging

Reference355 articles.

1. Current status and future perspective on artificial intelligence for lower endoscopy;Misawa;Dig Endosc,2021

2. Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study;Wang;Gut,2019

3. Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study;Wang;Lancet Gastroenterol Hepatol,2020

4. Real-time use of artificial intelligence in identification of diminutive polyps during colonoscopy: a prospective study;Mori;Ann Intern Med,2018

5. Increased rate of adenoma detection associates with reduced risk of colorectal cancer and death;Kaminski;Gastroenterology,2017

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