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COVID-19 Control by Computer Vision Approaches: A Survey.

Anwaar Ulhaq1, Jannis Born2, Asim Khan3

  • 1School of Computing and MathematicsCharles Sturt University Port Macquarie NSW 2795 Australia.

IEEE Access : Practical Innovations, Open Solutions
|November 23, 2021
PubMed
Summary
This summary is machine-generated.

Computer Vision (CV) aids the fight against COVID-19 by leveraging artificial intelligence for healthcare solutions. This review surveys current CV research and resources, guiding future pandemic control efforts.

Keywords:
Artificial intelligenceCOVID-19computer visionreviewsurvey

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Area of Science:

  • Artificial Intelligence
  • Computer Vision
  • Medical Imaging

Background:

  • The COVID-19 pandemic presents a significant global health crisis.
  • Computer Vision (CV), a field of AI, has demonstrated success in complex healthcare applications.
  • There is an urgent need for AI-driven solutions to combat the pandemic.

Purpose of the Study:

  • To conduct a preliminary literature review of Computer Vision research efforts against the COVID-19 pandemic.
  • To compile information on available research resources and identify future research directions in CV for pandemic control.
  • To provide a guide for CV researchers interested in contributing to pandemic response.

Main Methods:

  • Systematic review of recent scientific literature on Computer Vision applications for COVID-19.
  • Information gathering on existing research resources and datasets.
  • Analysis of trends and identification of emerging research areas.

Main Results:

  • A growing body of research demonstrates the potential of CV in various aspects of pandemic management.
  • Numerous research resources and tools have been developed and shared by the community.
  • Key areas of CV application include diagnosis, monitoring, and drug discovery.

Conclusions:

  • Computer Vision is a valuable tool in the global response to the COVID-19 pandemic.
  • Continued research and resource sharing are crucial for advancing CV's role in public health.
  • This survey provides a foundational overview to guide future CV research directions in pandemic preparedness and response.