Distribution Atlas of COVID-19 Pneumonia on Computed Tomography: A Deep Learning Based Description

OBJECTIVES: To construct a distribution atlas of coronavirus disease 2019 (COVID-19) pneumonia on computed tomography (CT) and further explore the difference in distribution by location and disease severity through a retrospective study of 484 cases in Jiangsu, China. METHODS: All patients diagnosed...

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Detalles Bibliográficos
Autores principales: Huang, Shan, Wang, Yuancheng, Zhou, Zhen, Yu, Qian, Yu, Yizhou, Yang, Yi, Ju, Shenghong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111058/
https://www.ncbi.nlm.nih.gov/pubmed/35233557
http://dx.doi.org/10.1007/s43657-021-00011-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111058/
https://www.ncbi.nlm.nih.gov/pubmed/35233557
http://dx.doi.org/10.1007/s43657-021-00011-4

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