Survey on Diagnosing CORONA VIRUS from Radiography chest X-ray images using Convolutional Neural Networks

Abstract Corona Virus continues to possess its effects on the people lives across the world. The screening of infected persons is vital step because it is a fast and low-cost way. Chest X-ray images plays a major crucial role and it is used for examination in detection of CORONA VIRUS(COVID-19). Here radiological chest X-rays are easily available with low cost only. In this survey paper, we are using a Convolutional Neural Network(CNN) based solution that will benefit in detection of the Covid-19 Positive patients using radiography chest X-Ray images. To test the efficiency of the solution, we are using public available X-Ray images of Corona Virus Positive cases and negative cases. Images of Positive Corona Virus patients and pictures of healthy person images are divided into testing images and trainable images. The solution which we are providing will give good results in classification accuracy within the test set-up. Here we are going to develop a GUI application for medical Examination areas. This GUI application can be used on any computer and performed by any medical examiner or technician to determine Corona Virus positive patients using radiography X-ray images. The result will be shown or provided by this application is really fast and done within a few seconds.