A Deep Learning Model for Classification of Endoscopic Gastroesophageal Reflux Disease

A Deep Learning Model for Classification of Endoscopic Gastroesophageal Reflux Disease

Gastroesophageal reflux disease (GERD) is a common disease with high prevalence, and its endoscopic severity can be evaluated using the Los Angeles classification (LA grade). This paper proposes a deep learning model (i.e., GERD-VGGNet) that employs convolutional neural networks for automatic classi...

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Bibliographic Details
Main Authors: Chi-Chih Wang, Yu-Ching Chiu, Wei-Liang Chen, Tzu-Wei Yang, Ming-Chang Tsai, Ming-Hseng Tseng
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:International Journal of Environmental Research and Public Health
Subjects:
gastroesophageal reflux disease classification
artificial intelligence
deep learning
conventional endoscopy
narrow-band image
Online Access:https://www.mdpi.com/1660-4601/18/5/2428

Internet

https://www.mdpi.com/1660-4601/18/5/2428

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