Artificial Intelligence Based Model for Covid-19 Detection by Analyzing X-Ray Images: Researches, challenges and Future Directions

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dc.contributor.authorAvci, I.
dc.contributor.authorAlzabaq, A.
dc.date.accessioned2024-09-29T16:20:55Z
dc.date.available2024-09-29T16:20:55Z
dc.date.issued2022
dc.departmentKarabük Üniversitesien_US
dc.description4th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2022 -- 9 June 2022 through 11 June 2022 -- Ankara -- 180434en_US
dc.description.abstractThe interdependence between artificial intelligence and medical services allows for saving time and devices with a high degree of accuracy in medical analyses. Because medical imaging devices and computers are available in hospitals, this method of diagnosing COVID-19 infection is less expensive and faster than traditional methods. And our goal in this research is to shed light on research efforts in the field of exploiting artificial intelligence, software, and algorithms that allow the machine to learn by itself to detect the COVID-19 virus taken from Medical chest x-rays, comparing research conducted in this area over the past two years, this paper reviews 40 published research papers, studied and categorized based on specific criteria, to obtain a comprehensive view of the use of deep learning and machine learning models that predict COVID-19 infection And future aspirations for the possibility of applying this method of diagnosis on a global scale in hospitals and health care centers. © 2022 IEEE.en_US
dc.identifier.doi10.1109/HORA55278.2022.9800077
dc.identifier.isbn978-166546835-0
dc.identifier.scopus2-s2.0-85133954240en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/HORA55278.2022.9800077
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9422
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofHORA 2022 - 4th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectartificial intelligenceen_US
dc.subjectClassificationen_US
dc.subjectCOVID-19en_US
dc.subjectdeep learningen_US
dc.subjectX-raysen_US
dc.titleArtificial Intelligence Based Model for Covid-19 Detection by Analyzing X-Ray Images: Researches, challenges and Future Directionsen_US
dc.typeConference Objecten_US

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