Currently, the world faces a novel coronavirus disease 2019 (COVID-19) challenge and infected cases are increasing exponentially. COVID-19 is a disease that has been reported by the WHO in March 2020, caused by a virus called the SARS-CoV-2. As of 10 March 2021, more than 150 million people were infected and 3v million died. Researchers strive to find out about the virus and recommend effective actions. An unprecedented increase in pathogens is happening and a major attempt is being made to tackle the epidemic. This article presents deep learning-based COVID-19 detection using CT and X-ray images and data analytics on its spread worldwide. This article's research structure builds on a recent analysis of the COVID-19 data and prospective research to systematize current resources, help the researchers, practitioners by using in-depth learning methodologies to build solutions for the COVID-19 pandemic.

中文翻译：

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使用 CT 和 X 射线图像进行基于深度学习的 COVID-19 检测：当前分析和比较

当前，世界面临新型冠状病毒病 2019 (COVID-19) 的挑战，感染病例呈指数级增长。COVID-19 是世界卫生组织于 2020 年 3 月报告的一种疾病，由一种名为 SARS-CoV-2 的病毒引起。截至 2021 年 3 月 10 日，超过 1.5 亿人被感染，3v 万人死亡。研究人员努力找出有关该病毒的信息并推荐有效的措施。病原体数量空前增加，抗击疫情正在作出重大尝试。本文介绍了基于深度学习的 COVID-19 检测，使用 CT 和 X 射线图像及其在全球范围内的数据分析。本文的研究结构建立在最近对 COVID-19 数据的分析和前瞻性研究的基础上，以系统化当前资源，帮助研究人员，