Deep Learning Application for Covid-19 Diagnosis using Chest X-ray Images
Anshu Gupta, Aman Ojha, Abhishek Kumar, Astik Jain
COVID-19, X-rays, CNN, VGG-16, Deep learning
COVID-19 is increasing day by day from December 2019 in all over the world. The first COVID-19 Case is in Wuhan, China, on 31 December 2019. The COVID-19 virus was growing rapidly since December 2019 and now it is affecting the human’s lungs rapidly. By using Deep Learning Application for Covid-19 Diagnosis using Chest X-ray Images, with the help of chest X-ray we are able to detect whether the person is infected with COVID-19 Virus. We can predict by using Deep Learning models, CNN (convolutional neural network) trained with X ray images of COVID-19. We are also using the VGG-16 model which gives the accuracy of 88.29% in the prediction of the COVID 19 from given chest X-ray of a patient.
Article Details
Unique Paper ID: 151718

Publication Volume & Issue: Volume 8, Issue 1

Page(s): 584 - 588
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