Contrastive learning and subtyping of post-COVID-19 lung computed tomography images

Contrastive learning and subtyping of post-COVID-19 lung computed tomography images

Patients who recovered from the novel coronavirus disease 2019 (COVID-19) may experience a range of long-term symptoms. Since the lung is the most common site of the infection, pulmonary sequelae may present persistently in COVID-19 survivors. To better understand the symptoms associated with impair...

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Bibliographic Details
Main Authors: Frank Li, Xuan Zhang, Alejandro P. Comellas, Eric A. Hoffman, Tianbao Yang, Ching-Long Lin
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Physiology
Subjects:
computed tomography
post-COVID-19
contrastive learning
cluster analysis
small airways disease
long Covid
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2022.999263/full

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https://www.frontiersin.org/articles/10.3389/fphys.2022.999263/full

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