A deep learning-based quantitative computed tomography model for predicting the severity of COVID-19: a retrospective study of 196 patients

BACKGROUND: The assessment of the severity of coronavirus disease 2019 (COVID-19) by clinical presentation has not met the urgent clinical need so far. We aimed to establish a deep learning (DL) model based on quantitative computed tomography (CT) and initial clinical features to predict the severit...

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Detalles Bibliográficos
Autores principales: Shi, Weiya, Peng, Xueqing, Liu, Tiefu, Cheng, Zenghui, Lu, Hongzhou, Yang, Shuyi, Zhang, Jiulong, Wang, Mei, Gao, Yaozong, Shi, Yuxin, Zhang, Zhiyong, Shan, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940921/
https://www.ncbi.nlm.nih.gov/pubmed/33708843
http://dx.doi.org/10.21037/atm-20-2464

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940921/
https://www.ncbi.nlm.nih.gov/pubmed/33708843
http://dx.doi.org/10.21037/atm-20-2464

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