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A Cascade-SEME network for COVID-19 detection in chest x-ray images
Medical Physics ( IF 3.8 ) Pub Date : 2021-03-29 , DOI: 10.1002/mp.14711
Dailin Lv 1 , Yaqi Wang 2 , Shuai Wang 3 , Qianni Zhang 4 , Wuteng Qi 1 , Yunxiang Li 1 , Lingling Sun 1
Affiliation  

The worldwide spread of the SARS-CoV-2 virus poses unprecedented challenges to medical resources and infection prevention and control measures around the world. In this case, a rapid and effective detection method for COVID-19 can not only relieve the pressure of the medical system but find and isolate patients in time, to a certain extent, slow down the development of the epidemic. In this paper, we propose a method that can quickly and accurately diagnose whether pneumonia is viral pneumonia, and classify viral pneumonia in a fine-grained way to diagnose COVID-19.

中文翻译:

用于在胸部X射线图像中检测COVID-19的Cascade-SEME网络

SARS-CoV-2病毒在全球范围内的传播对世界各地的医疗资源以及感染预防和控制措施提出了前所未有的挑战。在这种情况下,一种快速有效的COVID-19检测方法不仅可以缓解医疗系统的压力,而且可以在一定程度上及时发现并隔离患者,从而在一定程度上减缓流行病的发展。在本文中,我们提出了一种可以快速,准确地诊断肺炎是否为病毒性肺炎的方法,并以细粒度的方式对病毒性肺炎进行分类,以诊断COVID-19。
更新日期:2021-05-22
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