AI detection of mild COVID-19 pneumonia from chest CT scans

OBJECTIVES: An artificial intelligence model was adopted to identify mild COVID-19 pneumonia from computed tomography (CT) volumes, and its diagnostic performance was then evaluated. METHODS: In this retrospective multicenter study, an atrous convolution-based deep learning model was established for...

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Detalles Bibliográficos
Autores principales: Yao, Jin-Cao, Wang, Tao, Hou, Guang-Hua, Ou, Di, Li, Wei, Zhu, Qiao-Dan, Chen, Wen-Cong, Yang, Chen, Wang, Li-Jing, Wang, Li-Ping, Fan, Lin-Yin, Shi, Kai-Yuan, Zhang, Jie, Xu, Dong, Li, Ya-Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Chest
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7971359/
https://www.ncbi.nlm.nih.gov/pubmed/33738595
http://dx.doi.org/10.1007/s00330-021-07797-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7971359/
https://www.ncbi.nlm.nih.gov/pubmed/33738595
http://dx.doi.org/10.1007/s00330-021-07797-x

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