A novel deep learning-based quantification of serial chest computed tomography in Coronavirus Disease 2019 (COVID-19)

This study aims to explore and compare a novel deep learning-based quantification with the conventional semi-quantitative computed tomography (CT) scoring for the serial chest CT scans of COVID-19. 95 patients with confirmed COVID-19 and a total of 465 serial chest CT scans were involved, including...

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Detalles Bibliográficos
Autores principales: Pan, Feng, Li, Lin, Liu, Bo, Ye, Tianhe, Li, Lingli, Liu, Dehan, Ding, Zezhen, Chen, Guangfeng, Liang, Bo, Yang, Lian, Zheng, Chuansheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801482/
https://www.ncbi.nlm.nih.gov/pubmed/33432072
http://dx.doi.org/10.1038/s41598-020-80261-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801482/
https://www.ncbi.nlm.nih.gov/pubmed/33432072
http://dx.doi.org/10.1038/s41598-020-80261-w

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