Development and Validation of Deep Learning Models for the Multiclassification of Reflux Esophagitis Based on the Los Angeles Classification

This study is to evaluate the feasibility of deep learning (DL) models in the multiclassification of reflux esophagitis (RE) endoscopic images, according to the Los Angeles (LA) classification for the first time. The images were divided into three groups, namely, normal, LA classification A + B, and...

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Detalles Bibliográficos
Autores principales: Ge, Hailong, Zhou, Xin, Wang, Yu, Xu, Jian, Mo, Feng, Chao, Chen, Zhu, Jinzhou, Yu, Weixin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966565/
https://www.ncbi.nlm.nih.gov/pubmed/36852218
http://dx.doi.org/10.1155/2023/7023731

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966565/
https://www.ncbi.nlm.nih.gov/pubmed/36852218
http://dx.doi.org/10.1155/2023/7023731

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