A Review of COVID-19 Diagnostic Approaches in Computer Vision

Zalluhoğlu C.

CURRENT MEDICAL IMAGING REVIEWS, cilt.19, sa.7, ss.695-712, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 19 Sayı: 7
  • Basım Tarihi: 2023
  • Doi Numarası: 10.2174/1573405619666221222161832
  • Dergi Adı: CURRENT MEDICAL IMAGING REVIEWS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Biotechnology Research Abstracts, EMBASE, MEDLINE
  • Sayfa Sayıları: ss.695-712
  • Hacettepe Üniversitesi Adresli: Evet

Özet

Computer vision has proven that it can solve many problems in the field of health in recent years. Processing the data obtained from the patients provided benefits in both disease detection and follow-up and control mechanisms. Studies on the use of computer vision for COVID-19, which is one of the biggest global health problems of the past years, are increasing daily. This study includes a preliminary review of COVID-19 computer vision research conducted in recent years. This review aims to help researchers who want to work in this field.