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首页> 外文期刊>International Journal of Sensor Networks and Data Communications >Semantic Network for Monitoring of Covid Infected Patient
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Semantic Network for Monitoring of Covid Infected Patient

机译：用于监测Covid受感染患者的语义网络

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摘要

The utilization of neural organizations to handle COVID-19 is basically accomplished by giving significant experiences to clinical picture information. Driven by a blend of components like general wellbeing crises, accessibility of a huge assortment of information, and advances in innovation, a few neural organization models have been developed. A convolutional neural organization (CNN) is a class of profound neural organizations that are principally utilized for clinical picture preparing. These neural organization models help extricate explicit discoveries from chest radiology pictures of COVID-19 patients. In this article, we talk about various sorts of CNN models that have been proposed to perceive the examples in chest X-beam and processed tomography (CT) pictures of COVID-19 patients, empowering programmed location, division, and arrangement of pictures. Catchphrases, for example, COVID-19, RT-PCR, CT, X-beam, neural organization, CNN, profound learning, and clinical picture investigation were utilized to look for articles through the sites of PubMed, Radiopaedia, and Google Scholar. Further, to acquire a natural and improved on comprehension of the CNNs for COVID-19 picture order, we directed an exploratory investigation utilizing a straightforward CNN structure. The trial was led to arrange COVID-19 and non-COVID-19 CT pictures utilizing an openly accessible dataset.
机译：利用神经组织来处理Covid-19基本上是通过对临床图片信息提供重大经验来实现的。由普通福利危机等组件的混合驱动，巨大各种信息的可访问性，创新的进步，已经开发出一些神经组织模型。卷积神经组织（CNN）是一类主要用于临床图像准备的深层神经组织。这些神经组织模型有助于从Covid-19患者的胸部放射照片中提取显式发现。在本文中，我们讨论了已经提出的各种CNN模型，以便在Covid-19患者的Covid-19患者的处理后的示例中察觉，例如Covid-19患者，赋权定位，划分和图片排列。例如，Covid-19，RT-PCR，CT，X-Beam，神经组织，CNN，深度学习以及临床图片调查，用于通过PubMed，Radiopaedia和Google Scholar的遗址寻找文章。此外，为了对COVID-19图片顺序的CNNS的理解获得自然和改进，我们针对利用直接的CNN结构进行了探索性研究。该试验导致使用公开访问的数据集安排Covid-19和非Covid-19 CT图片。

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