Automated detection of small bowel lesions based on capsule endoscopy using deep learning algorithm-Reference-Cited by-同舟云学术

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Automated detection of small bowel lesions based on capsule endoscopy using deep learning algorithm

Published:2024-05 Issue:5 Volume:48 Page:102334
ISSN:2210-7401
Container-title:Clinics and Research in Hepatology and Gastroenterology
language:en
Short-container-title:Clinics and Research in Hepatology and Gastroenterology

Author:

Li Lan^ORCID,Yang Liping,Zhang Bingling,Yan Guofei,Bao Yaqing,Zhu Renke,Li Shengjie,Wang Huogen,Chen Ming,Jin Chaohui,Chen Yishu,Yu Chaohui

Publisher

Elsevier BV

Reference26 articles.

1. Small-bowel capsule endoscopy and device-assisted enteroscopy for diagnosis and treatment of small-bowel disorders: European Society of Gastrointestinal Endoscopy (ESGE) Guideline-Update 2022;Pennazio;Endoscopy,2023

2. Application of validated bleeding risk scores for atrial fibrillation in obscure gastrointestinal bleeding patients increases videocapsule endoscopy's diagnostic yield: a retrospective monocentric study;Urgesi;Int J Colorectal Dis,2023

3. Eye-tracking fluoroscopy system: a new artificial intelligence-based system to communicate activate watching of the monitor during endoscopy;Takinami;Endoscopy,2023

4. Small Bowel Capsule Endoscopy and artificial intelligence: first or second reader?;Piccirelli;Best Pract Res Clin Gastroenterol,2021

5. Artificial intelligence in small bowel capsule endoscopy - current status, challenges and future promise;Dray;J Gastroenterol Hepatol,2021

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