Automated detection and quantification of COVID-19 pneumonia: CT imaging analysis by a deep learning-based software

BACKGROUND: The novel coronavirus disease 2019 (COVID-19) is an emerging worldwide threat to public health. While chest computed tomography (CT) plays an indispensable role in its diagnosis, the quantification and localization of lesions cannot be accurately assessed manually. We employed deep learn...

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Detalles Bibliográficos
Autores principales: Zhang, Hai-tao, Zhang, Jin-song, Zhang, Hai-hua, Nan, Yan-dong, Zhao, Ying, Fu, En-qing, Xie, Yong-hong, Liu, Wei, Li, Wang-ping, Zhang, Hong-jun, Jiang, Hua, Li, Chun-mei, Li, Yan-yan, Ma, Rui-na, Dang, Shao-kang, Gao, Bo-bo, Zhang, Xi-jing, Zhang, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358997/
https://www.ncbi.nlm.nih.gov/pubmed/32666395
http://dx.doi.org/10.1007/s00259-020-04953-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358997/
https://www.ncbi.nlm.nih.gov/pubmed/32666395
http://dx.doi.org/10.1007/s00259-020-04953-1

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