Computing infection distributions and longitudinal evolution patterns in lung CT images

BACKGROUND: Spatial and temporal lung infection distributions of coronavirus disease 2019 (COVID-19) and their changes could reveal important patterns to better understand the disease and its time course. This paper presents a pipeline to analyze statistically these patterns by automatically segment...

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Detalles Bibliográficos
Autores principales: Gu, Dongdong, Chen, Liyun, Shan, Fei, Xia, Liming, Liu, Jun, Mo, Zhanhao, Yan, Fuhua, Song, Bin, Gao, Yaozong, Cao, Xiaohuan, Chen, Yanbo, Shao, Ying, Han, Miaofei, Wang, Bin, Liu, Guocai, Wang, Qian, Shi, Feng, Shen, Dinggang, Xue, Zhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7987127/
https://www.ncbi.nlm.nih.gov/pubmed/33757431
http://dx.doi.org/10.1186/s12880-021-00588-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7987127/
https://www.ncbi.nlm.nih.gov/pubmed/33757431
http://dx.doi.org/10.1186/s12880-021-00588-2

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