Multi-Class Gastroesophageal Reflux Disease Classification System Using Deep Learning Techniques-Reference-Cited by-同舟云学术

Multi-Class Gastroesophageal Reflux Disease Classification System Using Deep Learning Techniques

Published:2023-11-09 Issue: Volume: Page:223-229
ISSN:
Container-title:Proceedings of the 2023 10th International Conference on Biomedical and Bioinformatics Engineering
language:
Short-container-title:

Author:

Chan In Neng¹^ORCID,Wong Tang¹^ORCID,Wong Pak Kin¹^ORCID,Yan Tao²^ORCID,Chan In Weng³^ORCID,Ren Hao⁴^ORCID,Chan Chon In⁵^ORCID

Affiliation:

1. Department of Electromechnical Engineering, University of Macau, China

2. Department of Electromechnical Engineering, University of Macau, China and School of Mechanical Engineering, Hubei University of Arts and Science, China

3. Faculty of Medicine, Macau University of Science and Technology, China

4. Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, China

5. Department of Gastroenterology, Kiang Wu Hospital, China

Funder

Shenzhen Joint Fund (Guangdong-Shenzhen Joint Fund) Guangdong-Hong Kong-Macau Research Team Project

the Science and Technology Development Fund of Macau

Guangdong Basic and Applied Basic Research Fund and the Key Research and Development Program of Hubei Province

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637732.3637745

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4. Endoscopic grading of reflux oesophagitis: The past, present and future

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