Texture feature-based machine learning classifier could assist in the diagnosis of COVID-19

PURPOSE: Differentiating COVID-19 from other acute infectious pneumonias rapidly is challenging at present. This study aims to improve the diagnosis of COVID-19 using computed tomography (CT). METHOD: COVID-19 was confirmed mainly by virus nucleic acid testing and epidemiological history according t...

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Detalles Bibliográficos
Autores principales: Wu, Zhiyuan, Li, Li, Jin, Ronghua, Liang, Lianchun, Hu, Zhongjie, Tao, Lixin, Han, Yong, Feng, Wei, Zhou, Di, Li, Weiming, Lu, Qinbin, Liu, Wei, Fang, Liqun, Huang, Jian, Gu, Yu, Li, Hongjun, Guo, Xiuhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7883715/
https://www.ncbi.nlm.nih.gov/pubmed/33618207
http://dx.doi.org/10.1016/j.ejrad.2021.109602

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7883715/
https://www.ncbi.nlm.nih.gov/pubmed/33618207
http://dx.doi.org/10.1016/j.ejrad.2021.109602

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