Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images

Understanding chest CT imaging of the coronavirus disease 2019 (COVID-19) will help detect infections early and assess the disease progression. Especially, automated severity assessment of COVID-19 in CT images plays an essential role in identifying cases that are in great need of intensive clinical...

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Detalles Bibliográficos
Autores principales: He, Kelei, Zhao, Wei, Xie, Xingzhi, Ji, Wen, Liu, Mingxia, Tang, Zhenyu, Shi, Yinghuan, Shi, Feng, Gao, Yang, Liu, Jun, Zhang, Junfeng, Shen, Dinggang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816595/
https://www.ncbi.nlm.nih.gov/pubmed/33495661
http://dx.doi.org/10.1016/j.patcog.2021.107828

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816595/
https://www.ncbi.nlm.nih.gov/pubmed/33495661
http://dx.doi.org/10.1016/j.patcog.2021.107828

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