Development and multicenter validation of chest X-ray radiography interpretations based on natural language processing

BACKGROUND: Artificial intelligence can assist in interpreting chest X-ray radiography (CXR) data, but large datasets require efficient image annotation. The purpose of this study is to extract CXR labels from diagnostic reports based on natural language processing, train convolutional neural networ...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Yaping, Liu, Mingqian, Hu, Shundong, Shen, Yao, Lan, Jun, Jiang, Beibei, de Bock, Geertruida H., Vliegenthart, Rozemarijn, Chen, Xu, Xie, Xueqian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9053275/
https://www.ncbi.nlm.nih.gov/pubmed/35602222
http://dx.doi.org/10.1038/s43856-021-00043-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9053275/
https://www.ncbi.nlm.nih.gov/pubmed/35602222
http://dx.doi.org/10.1038/s43856-021-00043-x

Ejemplares similares