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A case study on computer-aided diagnosis of nonerosive reflux disease using deep learning techniques

  • Published:2021-07 Issue: Volume:445 Page:149-166
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Liao Junkai,Lam Hak-Keung,Jia Guangyu,Gulati Shraddha,Bernth Julius,Poliyivets Dmytro,Xu Yujia,Liu Hongbin,Hayee Bu

Funder

China Scholarship Council

King’s College London

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference83 articles.

1. C. Antunes, S.A. Curtis, Gastroesophageal Reflux Disease,https://www.ncbi.nlm.nih.gov/books/NBK441938/, accessed May 15, 2019 (2019).

2. Burden of gastrointestinal disease in the United States: 2012 update;Peery;Gastroenterology,2012

3. The burden of selected digestive diseases in the United States;Sandler;Gastroenterology,2002

4. Nonerosive reflux disease – current concepts and dilemmas;Fass;Am. J. Gastroenterol.,2001

5. Diagnosis and management of non-erosive reflux disease – the Vevey NERD Consensus Group;Modlin;Digestion,2009

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