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...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
הוצא לאור ב:Eur J Nucl Med Mol Imaging
Main Authors: 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
פורמט: Artigo
שפה:Inglês
יצא לאור: Springer Berlin Heidelberg 2020
נושאים:
Original Article
גישה מקוונת:https://ncbi.nlm.nih.gov/pmc/articles/PMC7358997/
https://ncbi.nlm.nih.gov/pubmed/32666395
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00259-020-04953-1
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