基于CT的放射基因组学框架用于COVID-19使用ACE2成像表示

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Updated: Jul 19, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
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Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

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Tian Xia1, Xiaohang Fu2, Michael Fulham2,3

  • 1School of Computer Science, Faculty of Engineering, The University of Sydney, Sydney, NSW, 2006, Australia. Tian.Xia@sydney.edu.au.

Journal of digital imaging
|August 8, 2023
PubMed
概括

这项研究引入了ACE2-RGF,这是一种新的放射基因组学方法,使用CT成像特征来评估血管激素转化酶2 (ACE2) 的表达. ACE2-RGF有助于COVID-19的诊断和严重疾病的识别.

关键词:
在ACE2中,ACE2是ACE2.在 COVID-19 疫情中,放射基因组学是指放射基因组学.无线电学 (Radiomics) 是一种辐射学.

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