新型冠状病毒肺炎的影像学检测及其与肺炎的比较

2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2021-10-27 DOI:10.1109/iemcon53756.2021.9623199

Blake D. Bryant, Muhammad R. Abid

{"title":"新型冠状病毒肺炎的影像学检测及其与肺炎的比较","authors":"Blake D. Bryant, Muhammad R. Abid","doi":"10.1109/iemcon53756.2021.9623199","DOIUrl":null,"url":null,"abstract":"COVID-19 has claimed millions of lives and devastated economies worldwide. In efforts to control and limit the spread of COVID-19 many early detection methods are reviewed in this survey. Pneumonia has proven to be closely related to COVID-19 in how it appears on X-rays. This can affect the accuracy of diagnosis for both Pneumonia and COVID-19 when using X-ray imaging. Therefore, this survey will analyze current leading, highly accurate models for COVID-19 detection and its comparison to Pneumonia. These models adopted a variety of different approaches and performance metrics that this survey reviews. The current leading models at detecting COVID-19 are VGG-19, ResNet-50, and Histogram of Oriented Gradients in conjunction with the Support Vector Machines approach.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Medical Imaging Review for COVID-19 Detection and its Comparison to Pneumonia\",\"authors\":\"Blake D. Bryant, Muhammad R. Abid\",\"doi\":\"10.1109/iemcon53756.2021.9623199\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"COVID-19 has claimed millions of lives and devastated economies worldwide. In efforts to control and limit the spread of COVID-19 many early detection methods are reviewed in this survey. Pneumonia has proven to be closely related to COVID-19 in how it appears on X-rays. This can affect the accuracy of diagnosis for both Pneumonia and COVID-19 when using X-ray imaging. Therefore, this survey will analyze current leading, highly accurate models for COVID-19 detection and its comparison to Pneumonia. These models adopted a variety of different approaches and performance metrics that this survey reviews. The current leading models at detecting COVID-19 are VGG-19, ResNet-50, and Histogram of Oriented Gradients in conjunction with the Support Vector Machines approach.\",\"PeriodicalId\":272590,\"journal\":{\"name\":\"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iemcon53756.2021.9623199\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iemcon53756.2021.9623199","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

COVID-19夺去了全世界数百万人的生命，摧毁了经济。为了控制和限制COVID-19的传播，本调查回顾了许多早期发现方法。从x射线上的表现来看，肺炎已被证明与COVID-19密切相关。在使用x射线成像时，这会影响肺炎和COVID-19诊断的准确性。因此，本调查将分析目前领先的、高精度的COVID-19检测模型，并将其与肺炎进行比较。这些模型采用了本调查所回顾的各种不同的方法和性能指标。目前用于检测COVID-19的领先模型是VGG-19、ResNet-50和与支持向量机方法相结合的定向梯度直方图。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A Medical Imaging Review for COVID-19 Detection and its Comparison to Pneumonia

COVID-19 has claimed millions of lives and devastated economies worldwide. In efforts to control and limit the spread of COVID-19 many early detection methods are reviewed in this survey. Pneumonia has proven to be closely related to COVID-19 in how it appears on X-rays. This can affect the accuracy of diagnosis for both Pneumonia and COVID-19 when using X-ray imaging. Therefore, this survey will analyze current leading, highly accurate models for COVID-19 detection and its comparison to Pneumonia. These models adopted a variety of different approaches and performance metrics that this survey reviews. The current leading models at detecting COVID-19 are VGG-19, ResNet-50, and Histogram of Oriented Gradients in conjunction with the Support Vector Machines approach.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)

自引率

0.00%

发文量