作者
Arpit Shukla, Urvashi Ramdasani, Gunjan Vinzuda, Mohammad S Obaidat, Sudeep Tanwar, Neeraj Kumar
发表日期
2021/6/14
研讨会论文
ICC 2021-IEEE International Conference on Communications
页码范围
1-6
出版商
IEEE
简介
The COVID-19 pandemic has adversely affected the lives of millions of people worldwide. With an alarming increase in COVID-19 cases, it is important to detect and diagnose COVID-19 in its early stages to prevent its spread. To diagnose remote patients, the Internet can be useful for accessing data of that patient. But, the Internet has also had issues related to data security, reliability, and privacy. Motivated by these challenges, in this paper, we propose a Blockchain (BC) based COVID-19 detection scheme (BCovX) for fast and reliable diagnosis of COVID-19 using chest X-Ray (CXR) images. For fast and accurate detection of COVID-19 using CXR, BCovX consists of a Convolutional Neural Network (CNN) model, using which a patient can be diagnosed for COVID-19 remotely. CNNs have performed successfully in medical imaging classification. BCovX provides reliable and secure data access and exchange …
引用总数
2021202220232024121
学术搜索中的文章
A Shukla, U Ramdasani, G Vinzuda, MS Obaidat… - ICC 2021-IEEE International Conference on …, 2021