2021
DOI: 10.1108/wje-03-2021-0161
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Diagnosis of COVID-19 using 3D CT scans and vaccination for COVID-19

Abstract: Purpose For the first time in a decade, a new form of pneumonia virus, coronavirus, COVID-19, appeared in Wuhan, China. To date, it has affected millions of people, killed thousands and resulted in thousands of deaths around the world. To stop the spread of this virus, isolate the infected people. Computed tomography (CT) imaging is very accurate in revealing the details of the lungs and allows oncologists to detect COVID. However, the analysis of CT scans, which can include hundreds of images, may cause delay… Show more

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Cited by 7 publications
(3 citation statements)
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References 17 publications
(17 reference statements)
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“…This virus tends to be ecological rather than artificial or laboratory made. During the initial phases of the COVID-19 epidemic, many researchers questioned if it was a naturally occurring pathogen or a pathogen produced by scientists (Ch et al , 2021). This is why they did several experiments to discover the virus’s origins.…”
Section: Background Of Covid-19mentioning
confidence: 99%
See 1 more Smart Citation
“…This virus tends to be ecological rather than artificial or laboratory made. During the initial phases of the COVID-19 epidemic, many researchers questioned if it was a naturally occurring pathogen or a pathogen produced by scientists (Ch et al , 2021). This is why they did several experiments to discover the virus’s origins.…”
Section: Background Of Covid-19mentioning
confidence: 99%
“…From the day of exposure, symptoms will occur as early as 1 to 14 days later. In the majority of those who show symptoms (81% to have mild to moderate pneumonia, 14% have moderate to extreme dyspnea, and 5% have pneumonia which is recorded on a CT scan or an MRI) (respiratory failure, shock or multiorgan dysfunction) (Ch et al , 2021). The older one gets, the worse the illness gets.…”
Section: Introductionmentioning
confidence: 99%
“…So to process high dimensional data, feature reduction has been performed by using the genetic algorithm. Ch et al (2021a) examined the neural networks-based COVID diagnosis methods using chest CT scan images and secure transmission of CT images for health information systems. For screening patients infected with COVID-19, a new approach using convolutional neural networks is proposed, and its output is simulated.…”
mentioning
confidence: 99%