作者
Priyansh Kedia, Rahul Katarya
发表日期
2021/6/1
期刊
Applied Soft Computing
卷号
104
页码范围
107184
出版商
Elsevier
简介
Background
The ongoing fight with Novel Corona Virus, getting quick treatment, and rapid diagnosis reports have become an act of high priority. With millions getting infected daily and a fatality rate of 2%, we made it our motive to contribute a little to solve this real-world problem by accomplishing a significant and substantial method for diagnosing COVID-19 patients.
Aim
The Exponential growth of COVID-19 cases worldwide has severely affected the health care system of highly populated countries due to proportionally a smaller number of medical practitioners, testing kits, and other resources, thus becoming essential to identify the infected people. Catering to the above problems, the purpose of this paper is to formulate an accurate, efficient, and time-saving method for detecting positive corona patients.
Method
In this paper, an Ensemble Deep Convolution Neural Network model “CoVNet-19” is being proposed that …
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