A Review of COVID-19 Diagnostic Approaches in Computer Vision


Zalluhoğlu C.

CURRENT MEDICAL IMAGING REVIEWS, vol.19, no.7, pp.695-712, 2023 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 19 Issue: 7
  • Publication Date: 2023
  • Doi Number: 10.2174/1573405619666221222161832
  • Journal Name: CURRENT MEDICAL IMAGING REVIEWS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Biotechnology Research Abstracts, EMBASE, MEDLINE
  • Page Numbers: pp.695-712
  • Hacettepe University Affiliated: Yes

Abstract

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.