{"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}
引用次数: 3
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.
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