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Novel coronavirus (COVID-19) diagnosis using computer vision and artificial intelligence techniques: a review

Authors
  • Bhargava, Anuja1
  • Bansal, Atul1
  • 1 GLA University,
Type
Published Article
Journal
Multimedia Tools and Applications
Publisher
Springer-Verlag
Publication Date
Mar 03, 2021
Pages
1–16
Identifiers
DOI: 10.1007/s11042-021-10714-5
PMID: 33686333
PMCID: PMC7928188
Source
PubMed Central
Keywords
Disciplines
  • Article
License
Unknown

Abstract

The universal transmission of pandemic COVID-19 (Coronavirus) causes an immediate need to commit in the fight across the whole human population. The emergencies for human health care are limited for this abrupt outbreak and abandoned environment. In this situation, inventive automation like computer vision (machine learning, deep learning, artificial intelligence), medical imaging (computed tomography, X-Ray) has developed an encouraging solution against COVID-19. In recent months, different techniques using image processing are done by various researchers. In this paper, a major review on image acquisition, segmentation, diagnosis, avoidance, and management are presented. An analytical comparison of the various proposed algorithm by researchers for coronavirus has been carried out. Also, challenges and motivation for research in the future to deal with coronavirus are indicated. The clinical impact and use of computer vision and deep learning were discussed and we hope that dermatologists may have better understanding of these areas from the study.

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