A graph-optimized deep learning framework for recognition of Barrett’s esophagus and reflux esophagitis-Reference-Cited by-同舟云学术

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A graph-optimized deep learning framework for recognition of Barrett’s esophagus and reflux esophagitis

Published:2024-03-22 Issue: Volume: Page:
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Hou Muzhou,Wang Jiaoju,Liu Taohua,Li Zhaoying,Hounye Alphonse Houssou,Liu Xiaowei,Wang Kaifu^ORCID,Chen Shuijiao

Funder

Natural Science Foundation of Hunan Province China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-18910-9.pdf

Reference47 articles.

1. Coleman HG, Xie S-H, Lagergren J (2018) The epidemiology of esophageal adenocarcinoma. Gastroenterology 154(2):390–405

2. Hvid-Jensen F, Pedersen L, Drewes AM, Sørensen HT, Funch-Jensen P (2011) Incidence of adenocarcinoma among patients with barrett’s esophagus. N Engl J Med 365(15):1375–1383

3. Shaheen NJ, Falk GW, Iyer PG, Gerson LB (2016) Acg clinical guideline: diagnosis and management of Barrett’s esophagus. Am Coll Gastroenterol 111(1):30–50

4. Anaparthy R, Sharma P (2014) Progression of barrett oesophagus: role of endoscopic and histological predictors. Nat Rev Gastroenterol Hepatol 11(9):525–534

5. Maret-Ouda J, Markar SR, Lagergren J (2020) Gastroesophageal reflux disease: a review. Jama 324(24):2536–2547

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Role of Artificial Intelligence in the Diagnosis of Gastroesophageal Reflux Disease;Cureus;2024-06-11

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