作者
K Shankar, Eswaran Perumal, Mohamed Elhoseny, Fatma Taher, BB Gupta, Ahmed A Abd El-Latif
发表日期
2021/11/29
期刊
ACM Transactions on Internet Technology (TOIT)
卷号
22
期号
3
页码范围
1-14
出版商
ACM
简介
COVID-19 pandemic has led to a significant loss of global deaths, economical status, and so on. To prevent and control COVID-19, a range of smart, complex, spatially heterogeneous, control solutions, and strategies have been conducted. Earlier classification of 2019 novel coronavirus disease (COVID-19) is needed to cure and control the disease. It results in a requirement of secondary diagnosis models, since no precise automated toolkits exist. The latest finding attained using radiological imaging techniques highlighted that the images hold noticeable details regarding the COVID-19 virus. The application of recent artificial intelligence (AI) and deep learning (DL) approaches integrated to radiological images finds useful to accurately detect the disease. This article introduces a new synergic deep learning (SDL)-based smart health diagnosis of COVID-19 using Chest X-Ray Images. The SDL makes use of dual …
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K Shankar, E Perumal, M Elhoseny, F Taher, BB Gupta… - ACM Transactions on Internet Technology (TOIT), 2021