Quantitative Analysis of Computed Tomography Features of Different COVID-19 Infection Virus Variants Using Artificial Intelligence

Quantitative Analysis of Computed Tomography Features of Different COVID-19 Infection Virus Variants Using Artificial Intelligence

Objective: To quantitatively analyze and compare the chest computed tomography (CT) imaging features of patients infected with delta and omicron variants of COVID-19 using artificial intelligence (AI). Method: The clinical data of 294 patients infected with the novel coronavirus delta variant diagno...

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Bibliographic Details
Main Authors: Kai ZHANG, Jun CHAI, Rui LIU, Jianhua ZHAO, Jingchen WANG
Format: Article
Language:English
Published: Editorial Office of Computerized Tomography Theory and Application 2023-09-01
Series:CT Lilun yu yingyong yanjiu
Subjects:
quantitative ct
computer aided diagnosis
novel coronavirus
delta
omicron
Online Access:https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2023.043

Internet

https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2023.043

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