Computer Vision For COVID-19 Control: A Survey
Anwaar Ulhaq, Asim Khan, Douglas Gomes, Manoranjan Paul
COVID-19大流行引发了迫切需要为对抗人类人口的巨大威胁做出贡献。 计算机视觉作为人工智能的一个子领域,最近在解决医疗保健方面的各种复杂问题取得了成功,并有可能为控制COVID-19的斗争做出贡献。 为了响应这一呼吁,计算机视觉研究人员正在将他们的知识库投入工作,以设计应对COVID-19挑战并服务全球社会的有效方法。 每天都有新的贡献。 它激励我们回顾最近的工作,收集有关现有研究资源的信息,并指示未来的研究方向。 我们希望将其提供给计算机视觉研究人员,以节省宝贵的时间。 本调查文件旨在对现有的关于抗击COVID-19大流行的计算机视觉努力的文献进行初步审查。
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 ...