CNN based Covid-aid: Covid 19 Detection using Chest X-ray
Shrinjal Singh, Piyush Sapra, Aman Garg, Dinesh Kumar Vishwakarma
Abstract
Covid-19, an infectious disease that first originated from Wuhan, a city in China, during the month of December 2019, has taken a toll on the everyday lives of people around the world by affecting their mental and physical health. In addition to being detrimental to public health, it has also shaken the global economy. With the rapid spreading rate of this virus, one must find an effective and expeditious method to detect the disease. Radiology is one field of medical science that helps to diagnose patients carrying coronavirus symptoms. With inspiration and insight from various papers, this study aims to carry out the task of detecting the disease through radiography images of the human chest. Our deep learning model works on a publicly available dataset and uses the concepts of convolutional neural networks. Our model generated a classification accuracy of 87%.