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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Publicado en:	European Journal of Nuclear Medicine & Molecular Imaging Vol. 47; no. 11; pp. 2525 - 2533
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:	Journal Article
Publicado:	Springer Nature Oct2020
Acceso en línea:	Ver este registro en EBSCOhost