Coronavirus Pandemic Analysis Using Deep Learning Techniques A Study

Abilash, V.; Geoffrey, V.; Krishna, S. B. R.

The Corona Virus pandemic has caused a major outburst in many countries around the world, impacting on health and the lifestyle of millions. The major task fighting against Corona Virus pandemic is the ability to identify the infected cases early enough, and to put them in a separate care and essential treatment. The fastest way to detect this disease is from radiology images and radiography. Studies shows specific deformity in the chest radiology images of the infected patients by Corona Virus pandemic. The proposed research work applies deep learning models to expose whether the person is Corona Virus Positive or Negative from their chest radiograph images. This study paper is used to build an efficient model based on various deep learning techniques like convolutional neural network (CNN) to give an accurate prediction whether the person is COVID positive or negative. © 2021 IEEE.