Analysis of Prognosis of Coronavirus Disease 2019 Using Quantitative Measurement of Deep Learning

Analysis of Prognosis of Coronavirus Disease 2019 Using Quantitative Measurement of Deep Learning

Objective: To analyze the differences of chest computed tomography (CT) inflammatory lesions in patients with coronavirus disease 2019 (COVID-19), which were quantitatively measured based on deep learning, to warn the occurrence of severe cases and improve the understanding of the prognosis of COVID...

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Bibliographic Details
Main Authors: Jianhua ZHAO, Danyan LIANG, Gaoxing LYU, Xin YAN, Yu LIU, Xiaolan WANG, Jun CHAI
Format: Article
Language:English
Published: Editorial Office of Computerized Tomography Theory and Application 2023-09-01
Series:CT Lilun yu yingyong yanjiu
Subjects:
deep learning
tomography
x-ray computed
coronavirus disease 2019
Online Access:https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2023.044

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