Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed...
Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography
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Author / Creator
Chen, Jun , Wu, Lianlian , Zhang, Jun , Zhang, Liang , Gong, Dexin , Zhao, Yilin , Chen, Qiuxiang , Huang, Shulan , Yang, Ming , Yang, Xiao , Hu, Shan , Wang, Yonggui , Hu, Xiao , Zheng, Biqing , Zhang, Kuo , Wu, Huiling , Dong, Zehua , Xu, Youming , Zhu, Yijie , Chen, Xi , Zhang, Mengjiao , Yu, Lilei , Cheng, Fan and Yu, Honggang
Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
Computed tomography (CT) is the preferred imaging method for diagnosing 2019 novel coronavirus (COVID19) pneumonia. We aimed to construct a system based on deep learning for detecting COVID-19 pneumonia on high resolution CT. For model development and validation, 46,096 anonymous images from 106 admitted patients, including 51 patients of laborator...
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Full title
Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7645624
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7645624
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-020-76282-0
