A Review of COVID-19 Diagnostic Approaches in Computer Vision

Cemil      Zalluhoğlu
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.
Keywords: COVID-19, computer vision, deep learning, machine learning, CT, X-Ray, LUS.
Graphical Abstract

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Cite As
Current Medical Imaging

A Review of COVID-19 Diagnostic Approaches in Computer Vision

Abstract

Graphical Abstract
