Artificial Intelligence Based Model for Covid-19 Detection by Analyzing X-Ray Images: Researches, challenges and Future Directions
Küçük Resim Yok
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The 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.
Açıklama
4th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2022 -- 9 June 2022 through 11 June 2022 -- Ankara -- 180434
Anahtar Kelimeler
artificial intelligence, Classification, COVID-19, deep learning, X-rays
Kaynak
HORA 2022 - 4th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A