Self-supervised deep learning model for COVID-19 lung CT image segmentation highlighting putative causal relationship among age, underlying disease and COVID-19

Self-supervised deep learning model for COVID-19 lung CT image segmentation highlighting putative causal relationship among age, underlying disease and COVID-19

Abstract Background Coronavirus disease 2019 (COVID-19) is very contagious. Cases appear faster than the available Polymerase Chain Reaction test kits in many countries. Recently, lung computerized tomography (CT) has been used as an auxiliary COVID-19 testing approach. Automatic analysis of the lun...

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Bibliographic Details
Main Authors: Daryl L. X. Fung, Qian Liu, Judah Zammit, Carson Kai-Sang Leung, Pingzhao Hu
Format: Article
Language:English
Published: BMC 2021-07-01
Series:Journal of Translational Medicine
Subjects:
COVID-19
Self-supervised learning
Lung CT images
Image segmentation
Mediation analysis
Online Access:https://doi.org/10.1186/s12967-021-02992-2

Internet

https://doi.org/10.1186/s12967-021-02992-2

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