Deep learning-based triage and analysis of lesion burden for COVID-19: a retrospective study with external validation

BACKGROUND: Prompt identification of patients suspected to have COVID-19 is crucial for disease control. We aimed to develop a deep learning algorithm on the basis of chest CT for rapid triaging in fever clinics. METHODS: We trained a U-Net-based model on unenhanced chest CT scans obtained from 2447...

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Detalles Bibliográficos
Autores principales: Wang, Minghuan, Xia, Chen, Huang, Lu, Xu, Shabei, Qin, Chuan, Liu, Jun, Cao, Ying, Yu, Pengxin, Zhu, Tingting, Zhu, Hui, Wu, Chaonan, Zhang, Rongguo, Chen, Xiangyu, Wang, Jianming, Du, Guang, Zhang, Chen, Wang, Shaokang, Chen, Kuan, Liu, Zheng, Xia, Liming, Wang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2020
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7508506/
https://www.ncbi.nlm.nih.gov/pubmed/32984796
http://dx.doi.org/10.1016/S2589-7500(20)30199-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7508506/
https://www.ncbi.nlm.nih.gov/pubmed/32984796
http://dx.doi.org/10.1016/S2589-7500(20)30199-0

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