Author:
Li Zhang,Zhong Zheng,Li Yang,Zhang Tianyu,Gao Liangxin,Jin Dakai,Sun Yue,Ye Xianghua,Yu Li,Hu Zheyu,Xiao Jing,Huang Lingyun,Tang Yuling
Funder
National Natural Science Foundation of China
Natural Science Foundation of Hunan Province
Health and Family Planning Commission of Hunan Province
Science and Technology Bureau of Changsha
Publisher
Springer Science and Business Media LLC
Subject
Radiology Nuclear Medicine and imaging,General Medicine
Reference16 articles.
1. Coronavirus disease 2019 (covid-19) situation report-80. World Health Organization Web site. https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200409-sitrep80-covid-19.pdf?sfvrsn=1b685d64. Published April 9, 2020. Accessed 9 Apr 2020
2. Ai T, Yang Z, Hou H et al (2020) Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases. Radiology. 200642. https://doi.org/10.1148/radiol.2020200642
3. Fang Y, Zhang H, Xie J et al (2020) Sensitivity of chest CT for COVID-19: comparison to RT-PCR. Radiology. 200432. https://doi.org/10.1148/radiol.2020200432
4. Xie X, Zhong Z, Zhao W, Zheng C, Wang F, Liu J (2020) Chest CT for typical 2019-nCoV pneumonia: relationship to negative RT-PCR testing. Radiology. 200343. https://doi.org/10.1148/radiol.2020200343
5. Li L, Qin L, Xu Z et al (2020) Artificial intelligence distinguishes covid-19 from community acquired pneumonia on chest ct. Radiology. 200905. https://doi.org/10.1148/radiol.2020200905
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