Cargando…
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...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
|
| Materias: | |
| 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 |