A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images-Reference-Cited by-同舟云学术

A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images

Published:2021-04-15 Issue:6 Volume:5 Page:509-521
ISSN:2157-846X
Container-title:Nature Biomedical Engineering
language:en
Short-container-title:Nat Biomed Eng

Author:

Wang Guangyu^ORCID,Liu Xiaohong,Shen Jun^ORCID,Wang Chengdi,Li Zhihuan,Ye Linsen,Wu Xingwang,Chen Ting^ORCID,Wang Kai,Zhang Xuan,Zhou Zhongguo,Yang Jian,Sang Ye,Deng Ruiyun,Liang Wenhua,Yu Tao,Gao Ming,Wang Jin,Yang Zehong,Cai Huimin,Lu Guangming^ORCID,Zhang Lingyan,Yang Lei,Xu Wenqin,Wang Winston^ORCID,Olvera Andrea,Ziyar Ian,Zhang Charlotte,Li Oulan,Liao Weihua,Liu Jun^ORCID,Chen Wen,Chen Wei,Shi Jichan,Zheng Lianghong,Zhang Longjiang,Yan Zhihan,Zou Xiaoguang,Lin Guiping,Cao Guiqun,Lau Laurance L.,Mo Long^ORCID,Liang Yong,Roberts Michael^ORCID,Sala Evis^ORCID,Schönlieb Carola-Bibiane,Fok Manson,Lau Johnson Yiu-Nam,Xu Tao,He Jianxing,Zhang Kang^ORCID,Li Weimin,Lin Tianxin^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering,Medicine (miscellaneous),Bioengineering,Biotechnology

Link

http://www.nature.com/articles/s41551-021-00704-1.pdf

Reference36 articles.

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3. Chan, J. F. et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. Lancet 395, 514–523 (2020).

4. Huang, C. et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 395, 497–506 (2020).

5. Qin, C., Yao, D., Shi, Y. & Song, Z. Computer-aided detection in chest radiography based on artificial intelligence: a survey. Biomed. Eng. Online 17, 113 (2018).

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