Deep Learning Computer-aided Polyp Detection Reduces Adenoma Miss Rate: A United States Multi-center Randomized Tandem Colonoscopy Study (CADeT-CS Trial)-Reference-Cited by-同舟云学术

Deep Learning Computer-aided Polyp Detection Reduces Adenoma Miss Rate: A United States Multi-center Randomized Tandem Colonoscopy Study (CADeT-CS Trial)

Published:2021-09 Issue: Volume: Page:
ISSN:1542-3565
Container-title:Clinical Gastroenterology and Hepatology
language:en
Short-container-title:Clinical Gastroenterology and Hepatology

Author:

Glissen Brown Jeremy R.,Mansour Nabil M.,Wang Pu,Chuchuca Maria Aguilera,Minchenberg Scott B.,Chandnani Madhuri,Liu Lin,Gross Seth A.,Sengupta Neil,Berzin Tyler M.

Funder

Science and Technology Commission of Shanghai Municipality

Natural Science Foundation of Shanghai

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Gastroenterology,Hepatology

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3. New-generation full-spectrum endoscopy versus standard forward-viewing colonoscopy: a multicenter, randomized, tandem colonoscopy trial (J-FUSE Study);Kudo;Gastrointest Endosc,2018