Intelligent Detection of Suspicions of COVID-19 Using X-Ray Imaging

Witman Alvarado-DIaz, Brian Meneses-Claudio

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

At the beginning of 2020, the World Health Organization declared COVID-19 a pandemic, since in all the countries of the world efforts have been made to stop the rate of infections, with the isolation of the population; Peru was one of the countries with strict isolation, however we are about to experience a third wave; on May 2021, Peru has a fatality rate of 3.55%, it is the 5th country with the most deaths in Latin America and the Caribbean and 15th worldwide. A rapid identification of COVID-19 cases is necessary, for this reason an algorithm has been developed for the identification of CODID-19 in addition to bacterial and viral pneumonia through x-ray images; also, the development of a graphical interface, which helps to quickly diagnose suspected COVID-19 cases. The results shown are optimistic since a rate of approximately 80% has been achieved, however, work continues to further improve the efficiency of the system.

Original languageEnglish
Title of host publicationProceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665429146
DOIs
StatePublished - 2021
Externally publishedYes
Event5th IEEE Sciences and Humanities International Research Conference, SHIRCON 2021 - Lima, Peru
Duration: 17 Nov 202119 Nov 2021

Publication series

NameProceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021

Conference

Conference5th IEEE Sciences and Humanities International Research Conference, SHIRCON 2021
Country/TerritoryPeru
CityLima
Period17/11/2119/11/21

Keywords

  • CNN
  • COVID-19
  • PyQt
  • artificial intelligence
  • graphical interface
  • x-ray

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