Author: Varshney, Y.; Anand, P.; Krishna, A.; Nagrath, P.; Jain, R.
Title: Detection of COVID-19 by X-rays Using Machine Learning and Deep Learning Models Cord-id: nwhusko3 Document date: 2021_1_1
ID: nwhusko3
Snippet: In India, test for COVID-19 is very expensive and not everybody can afford it. This document provides knowledge and awareness to the reader on COVID-19 screening of a person using radio chest x-ray images. Here Machine Learning and Deep Learning algorithms like CNN and max-pooling are used. These algorithms identifies different features in the images and help us to distinguish between a COVID-19 and non COVID-19 chest X-ray. This paper also describes the data set of COVID19 open image X-rays.It
Document: In India, test for COVID-19 is very expensive and not everybody can afford it. This document provides knowledge and awareness to the reader on COVID-19 screening of a person using radio chest x-ray images. Here Machine Learning and Deep Learning algorithms like CNN and max-pooling are used. These algorithms identifies different features in the images and help us to distinguish between a COVID-19 and non COVID-19 chest X-ray. This paper also describes the data set of COVID19 open image X-rays.It was created by collecting medical images from websites and publications. Our model accuracy is following a trend of greater than 95% on every run time. Machine learning models can’t have 100% accuracy and hence, this is the best one can get. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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