Computer Vision For COVID-19 Control: A Survey

• URL: http://arxiv.org/abs/2004.09420v2
• Date: Tue, 5 May 2020 06:01:17 GMT
• Title: Computer Vision For COVID-19 Control: A Survey
• Authors: Anwaar Ulhaq, Asim Khan, Douglas Gomes, Manoranjan Paul
• Abstract summary: The COVID-19 pandemic has triggered an urgent need to contribute to the fight against an immense threat to the human population. Computer Vision, as a subfield of Artificial Intelligence, has enjoyed recent success in solving various complex problems in health care. This survey paper is intended to provide a preliminary review of the available literature on the computer vision efforts against COVID-19 pandemic.
• Score: 10.032488704661903
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The COVID-19 pandemic has triggered an urgent need to contribute to the fight against an immense threat to the human population. Computer Vision, as a subfield of Artificial Intelligence, has enjoyed recent success in solving various complex problems in health care and has the potential to contribute to the fight of controlling COVID-19. In response to this call, computer vision researchers are putting their knowledge base at work to devise effective ways to counter COVID-19 challenge and serve the global community. New contributions are being shared with every passing day. It motivated us to review the recent work, collect information about available research resources and an indication of future research directions. We want to make it available to computer vision researchers to save precious time. This survey paper is intended to provide a preliminary review of the available literature on the computer vision efforts against COVID-19 pandemic.

Related papers

• Human Behavior in the Time of COVID-19: Learning from Big Data [71.26355067309193]
  Since March 2020, there have been over 600 million confirmed cases of COVID-19 and more than six million deaths. The pandemic has impacted and even changed human behavior in almost every aspect. Researchers have been employing big data techniques such as natural language processing, computer vision, audio signal processing, frequent pattern mining, and machine learning.
  arXiv  Detail & Related papers  (2023-03-23T17:19:26Z)
• Threat of Adversarial Attacks on Deep Learning in Computer Vision: Survey II [86.51135909513047]
  Deep Learning is vulnerable to adversarial attacks that can manipulate its predictions. This article reviews the contributions made by the computer vision community in adversarial attacks on deep learning. It provides definitions of technical terminologies for non-experts in this domain.
  arXiv  Detail & Related papers  (2021-08-01T08:54:47Z)
• Machine learning applications for COVID-19: A state-of-the-art review [0.0]
  The COVID-19 pandemic has galvanized the machine learning community to create new solutions. This article presents the latest advances in machine learning research applied to COVID-19.
  arXiv  Detail & Related papers  (2021-01-19T19:12:45Z)
• Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions [17.01346748101477]
  This paper presents a survey of AI methods being used in various applications in the fight against the COVID-19 outbreak. We touch on areas where AI plays as an essential component, from medical image processing, data analytics, text mining and natural language processing. Research directions on exploring the potential of AI and enhancing its capability and power in the pandemic battle are thoroughly discussed.
  arXiv  Detail & Related papers  (2020-07-30T11:11:55Z)
• A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19 [75.84689958489724]
  The COVID-19 pandemic caused by the SARS-CoV-2 virus has spread rapidly worldwide, leading to a global outbreak. As a powerful tool against COVID-19, artificial intelligence (AI) technologies are widely used in combating this pandemic. This survey presents medical and AI researchers with a comprehensive view of the existing and potential applications of AI technology in combating COVID-19.
  arXiv  Detail & Related papers  (2020-07-04T22:48:15Z)
• Challenges in Combating COVID-19 Infodemic -- Data, Tools, and Ethics [36.203933386216534]
  We present three key challenges in this fight against the COVID-19 infodemic where researchers and practitioners instinctively want to contribute and help. We demonstrate that these three challenges can and will be effectively addressed by collective wisdom, crowdsourcing, and collaborative research.
  arXiv  Detail & Related papers  (2020-05-27T22:41:02Z)
• Visualising COVID-19 Research [4.664989082015335]
  We develop a novel automated theme-based visualisation method. It combines advanced data modelling of large corpora, information mapping and trend analysis. It provides a top-down and bottom-up browsing and search interface for quick discovery of topics and research resources.
  arXiv  Detail & Related papers  (2020-05-13T15:45:14Z)
• A Study of Knowledge Sharing related to Covid-19 Pandemic in Stack Overflow [69.5231754305538]
  Study of 464 Stack Overflow questions posted mainly in February and March 2020 and leveraging the power of text mining. Findings reveal that indeed this global crisis sparked off an intense and increasing activity in Stack Overflow with most post topics reflecting a strong interest on the analysis of Covid-19 data.
  arXiv  Detail & Related papers  (2020-04-18T08:19:46Z)
• Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19 [71.41929762209328]
  The pandemic of coronavirus disease 2019 (COVID-19) is spreading all over the world. Medical imaging such as X-ray and computed tomography (CT) plays an essential role in the global fight against COVID-19. The recently emerging artificial intelligence (AI) technologies further strengthen the power of the imaging tools and help medical specialists.
  arXiv  Detail & Related papers  (2020-04-06T15:21:34Z)
• Mapping the Landscape of Artificial Intelligence Applications against COVID-19 [59.30734371401316]
  COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by the World Health Organization. We present an overview of recent studies using Machine Learning and, more broadly, Artificial Intelligence to tackle many aspects of the COVID-19 crisis.
  arXiv  Detail & Related papers  (2020-03-25T12:30:33Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.