Computing infection distributions and longitudinal evolution patterns in lung CT images

Computing infection distributions and longitudinal evolution patterns in lung CT images

Abstract 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...

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Bibliographic Details
Main Authors: Dongdong Gu, Liyun Chen, Fei Shan, Liming Xia, Jun Liu, Zhanhao Mo, Fuhua Yan, Bin Song, Yaozong Gao, Xiaohuan Cao, Yanbo Chen, Ying Shao, Miaofei Han, Bin Wang, Guocai Liu, Qian Wang, Feng Shi, Dinggang Shen, Zhong Xue
Format: Article
Language:English
Published: BMC 2021-03-01
Series:BMC Medical Imaging
Subjects:
COVID-19
Segmentation
Registration
Coronavirus infections
Lung
Probability
Online Access:https://doi.org/10.1186/s12880-021-00588-2

Internet

https://doi.org/10.1186/s12880-021-00588-2

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