作者
Zhiyuan Wu, Li Li, Ronghua Jin, Lianchun Liang, Zhongjie Hu, Lixin Tao, Yong Han, Wei Feng, Di Zhou, Weiming Li, Qinbin Lu, Wei Liu, Liqun Fang, Jian Huang, Yu Gu, Hongjun Li, Xiuhua Guo
发表日期
2021/4/1
期刊
European journal of radiology
卷号
137
页码范围
109602
出版商
Elsevier
简介
Purpose
Differentiating COVID-19 from other acute infectious pneumonias rapidly is challenging at present. This study aims to improve the diagnosis of COVID-19 using computed tomography (CT).
Method
COVID-19 was confirmed mainly by virus nucleic acid testing and epidemiological history according to WHO interim guidance, while other infectious pneumonias were diagnosed by antigen testing. The texture features were extracted from CT images by two radiologists with 5 years of work experience using modified wavelet transform and matrix computation analyses. The random forest (RF) classifier was applied to identify COVID-19 patients and images.
Results
We retrospectively analysed the data of 95 individuals (291 images) with COVID-19 and 96 individuals (279 images) with other acute infectious pneumonias, including 50 individuals (160 images) with influenza A/B. In total, 6 texture features showed a …
学术搜索中的文章
Z Wu, L Li, R Jin, L Liang, Z Hu, L Tao, Y Han, W Feng… - European journal of radiology, 2021
