From community-acquired pneumonia to COVID-19: a deep learning–based method for quantitative analysis of COVID-19 on thick-section CT scans

OBJECTIVE: To develop a fully automated AI system to quantitatively assess the disease severity and disease progression of COVID-19 using thick-section chest CT images. METHODS: In this retrospective study, an AI system was developed to automatically segment and quantify the COVID-19-infected lung r...

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Detalles Bibliográficos
Autores principales: Li, Zhang, Zhong, Zheng, Li, Yang, Zhang, Tianyu, Gao, Liangxin, Jin, Dakai, Sun, Yue, Ye, Xianghua, Yu, Li, Hu, Zheyu, Xiao, Jing, Huang, Lingyun, Tang, Yuling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Chest
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368602/
https://www.ncbi.nlm.nih.gov/pubmed/32683550
http://dx.doi.org/10.1007/s00330-020-07042-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368602/
https://www.ncbi.nlm.nih.gov/pubmed/32683550
http://dx.doi.org/10.1007/s00330-020-07042-x

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