Severity Assessment of COVID-19 Using a CT-Based Radiomics Model

The coronavirus disease of 2019 (COVID-19) has evolved into a worldwide pandemic. Although CT is sensitive in detecting lesions and assessing their severity, these works mainly depend on radiologists' subjective judgment, which is inefficient in case of a large-scale outbreak. This work focuses...

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Detalles Bibliográficos
Autores principales: Xu, Zhigao, Zhao, Lili, Yang, Guoqiang, Ren, Ying, Wu, Jinlong, Xia, Yuwei, Yang, Xuhong, Cao, Milan, Zhang, Guojiang, Peng, Taisong, Zhao, Jiafeng, Yang, Hui, Hu, Jinfeng, Du, Jiangfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8478587/
https://www.ncbi.nlm.nih.gov/pubmed/34594383
http://dx.doi.org/10.1155/2021/2263469

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8478587/
https://www.ncbi.nlm.nih.gov/pubmed/34594383
http://dx.doi.org/10.1155/2021/2263469

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