Diagnosis of COVID-19 using 3D CT scans and vaccination for COVID-19
| Autor: | Prathyusha Kuncha, Gangadhar Ch, Sankararao Majji, Arun Tigadi, E Fantin Irudaya Raj, S. Jana |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
2019-20 coronavirus outbreak medicine.diagnostic_test Coronavirus disease 2019 (COVID-19) business.industry 020209 energy Mechanical Engineering Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Computed tomography 02 engineering and technology Geotechnical Engineering and Engineering Geology Vaccination 020303 mechanical engineering & transports 0203 mechanical engineering Mechanics of Materials 0202 electrical engineering electronic engineering information engineering Medical imaging Medicine Medical physics Electrical and Electronic Engineering business Civil and Structural Engineering |
| Zdroj: | World Journal of Engineering. 19:189-194 |
| ISSN: | 1708-5284 |
| DOI: | 10.1108/wje-03-2021-0161 |
| Popis: | 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 delays in hospitals. The use of artificial intelligence (AI) in radiology could help to COVID-19-positive cancer in this manner is the main purpose of the work. Design/methodology/approach CT scans are a medical imaging procedure that gives a three-dimensional (3D) representation of the lungs for clinical purposes. The volumetric 3D data sets can be regarded as axial, coronal and transverse data sets. By using AI, we can diagnose the virus presence. Findings The paper discusses the use of an AI for COVID-19, and CT classification issue and vaccination details of COVID-19 have been detailed in this paper. Originality/value Originality of the work is, all the data can be collected genuinely and did research work doneown methodology. |
| Databáze: | OpenAIRE |
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