Deep Learning Applications to Combat Novel Coronavirus (COVID-19) Pandemic.
Deep Learning Applications to Combat Novel Coronavirus (COVID-19) Pandemic.
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DOI：
10.1007/s42979-020-00383-w
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Islam MM
中科院分区：
文献类型：
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作者：
Asraf A;Islam MZ;Haque MR;Islam MM
在这场全球大流行期间，世界各地的研究人员都在努力寻找智能医疗系统的创新技术来对抗冠状病毒。深度学习应用于过去流行病的证据激励了专家们，为控制这次疫情提供了新的方向。本文的目的是讨论深度学习在多个尺度上的贡献，包括医学成像、疾病追踪、蛋白质结构分析、药物发现以及病毒的严重性和传染性，以控制正在发生的疫情。就COVID-19对与深度学习应用相关的数据库进行了渐进式搜索。此外，通过评估深度学习的不同视角，使用选择性信息进行全面审查。本文试图探索和讨论深度学习在多个维度上控制新型冠状病毒（COVID-19）的整体应用。尽管使用深度学习算法进行了各种研究，但在应用于现实世界的问题时仍然存在一些限制和挑战。深度学习的持续进展有助于处理冠状病毒感染，并在开发适当的解决方案方面发挥有效作用。预计这篇论文将是一个很大的帮助，为研究人员谁愿意作出贡献的补救措施，目前在这一领域的流行。
During this global pandemic, researchers around the world are trying to find out innovative technology for a smart healthcare system to combat coronavirus. The evidence of deep learning applications on the past epidemic inspires the experts by giving a new direction to control this outbreak. The aim of this paper is to discuss the contributions of deep learning at several scales including medical imaging, disease tracing, analysis of protein structure, drug discovery, and virus severity and infectivity to control the ongoing outbreak. A progressive search of the database related to the applications of deep learning was executed on COVID-19. Further, a comprehensive review is done using selective information by assessing the different perspectives of deep learning. This paper attempts to explore and discuss the overall applications of deep learning on multiple dimensions to control novel coronavirus (COVID-19). Though various studies are conducted using deep learning algorithms, there are still some constraints and challenges while applying for real-world problems. The ongoing progress in deep learning contributes to handle coronavirus infection and plays an effective role to develop appropriate solutions. It is expected that this paper would be a great help for the researchers who would like to contribute to the development of remedies for this current pandemic in this area.