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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Detalles Bibliográficos
Autores principales: Wang, Chi-Chih, Chiu, Yu-Ching, Chen, Wei-Liang, Yang, Tzu-Wei, Tsai, Ming-Chang, Tseng, Ming-Hseng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967559/
https://www.ncbi.nlm.nih.gov/pubmed/33801325
http://dx.doi.org/10.3390/ijerph18052428

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967559/
https://www.ncbi.nlm.nih.gov/pubmed/33801325
http://dx.doi.org/10.3390/ijerph18052428

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