Early prediction of lung lesion progression in COVID-19 patients with extended CT ventilation imagin...
Early prediction of lung lesion progression in COVID-19 patients with extended CT ventilation imaging
About this item
Full title
Author / Creator
Wang, Cheng , Huang, Lu , Xiao, Sa , Li, Zimeng , Ye, Chaohui , Xia, Liming and Zhou, Xin
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
Purpose
In the prediction of COVID-19 disease progression, a clear illustration and early determination of an area that will be affected by pneumonia remain great challenges. In this study, we aimed to predict and visualize the progression of lung lesions in COVID-19 patients in the early stage of illness by using chest CT.
Methods
COVID-1...
Alternative Titles
Full title
Early prediction of lung lesion progression in COVID-19 patients with extended CT ventilation imaging
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8210511
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8210511
Other Identifiers
ISSN
1619-7070
E-ISSN
1619-7089
DOI
10.1007/s00259-021-05435-8
