Automatic Detection Of Covid-19 Using X-RayAnd Ct Images (Neural Network)

Abstract

Coronaviruses (CoV) are a large family of viruses transmitting between people that cause illness ranging from the common cold to more severe diseases such as Middle East respiratory syndrome (MERS-CoV) and severe acute respiratory syndrome(SARSCoV). COVID-19 symptoms timeline fever, cough and muscle pain, nausea or vomiting, diarrhea. On average it takes 5-6 days from when someone is infected with the virus for symptoms to show, however it can take up to 14 days. The idea is our project to analyse
the human lungs of X-ray image and CT image to visualizing the COVID-19 effect using Convolutional Neural Network using image processing technique we can easily visualize the effect of COVID-19 on X-ray and CT images. Deep learning and Neural Netowork are
key factor used here. Neural Network helps to find normal and COVID affected patient of X-ray and CT images of lungs. In our proposed system, we used X-ray images and CT images fused together as a input to get the result.