Automatic Covid 19 Infected Chest X Ray Image Classification using Support Vector Machine
Journal Title: International Journal of Trend in Scientific Research and Development - Year 2021, Vol 5, Issue 4
Abstract
The recent coronavirus disease COVID 19 is extending very speedily over the world for the sake of its very infectious nature and is announced nationwide by the world health organization WHO . The COVID 19 is a group of coronavirus that has caused panic all over the world. It enters people through the sneezing and coughing of the infected person and weakens the person and it then slowly infects the affected person’s lungs. In this study, we have classified the chest X Ray images like Covid 19 infected chest images or normal chest images. Classifying the chest X Ray images is hard and time consuming work for human beings. Hence, an automatic Covid 19 infected chest X Ray image or normal chest classification tool is very useful even for experience humans to classify a lot of chest X Ray images. For that, we have proposed a new machine learning technique to automatically classify the chest Covid 19 infected X Ray images or normal chest images. Hence, we have used a Machine learning ML model like Support Vector Machine SVM to classify Covid 19 infected chest images and normal chest images. For this work, at first, we have preprocessed the chest X Ray image. Then we have extracted the distinct features from the chest X Ray images. After that, these features have trained into Machine Learning ML algorithm and finally classify these images into the category. From the experiment, The Support Vector Machine SVM models achieving an accuracy of up to 93.1 . Md. Abdul Matin | Abdur Rahman | S M Abdullah Al Shuaeb | Anwar Hossen "Automatic Covid-19 Infected Chest X-Ray Image Classification using Support Vector Machine" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd41283.pdf Paper URL: https://www.ijtsrd.comcomputer-science/artificial-intelligence/41283/automatic-covid19-infected-chest-xray-image-classification-using-support-vector-machine/md-abdul-matin
Authors and Affiliations
Md. Abdul Matin | Abdur Rahman | S M Abdullah Al Shuaeb | Anwar Hossen
Keywords
Related Articles
- EP ID EP695719
- DOI -
- Views 104
- Downloads 0
Simulation of 3 Phase, 24 Pulse GTO Converter for Flow Control of Transmission System
Gate Turn off GTO thyristor based power control controller for flow control of transmission system is used to regulate voltage and reactive power improment. GTO thyristor switching devices with high power handling capabi...
Effects of Organic Carbon Content and Water Stable Aggregate on The Development of Rill and Gully Erosion in Aramoko-Ekiti
Field geological study of the area revealed that the erosion hazard has remained active over the years, defying control measures put in place by government, communities and individuals. Assessments of effects of organic...
Trade War - An Overview
Heavy metal deposition has increased due to the anthropogenic activities leading to heavily polluted areas worldwide. The objective of present study was to evaluate the effect of lead acetate Pb C2H3O2 2 on antioxidant e...
Crowd Sensing Systems A Mini Review
The main purpose of crowd sensing systems is to extract information based on the crowd in environment. . This paper briefly explains each type of sensors that were widely used in real life situations. Each type of sensor...
An Investigation of the Impact of Social Capital for the Entrepreneurial Intentions
It is reported that individuals have less willingness to start their own business. Lack of entrepreneurial intentions impact adversely for the economic development of the country as entrepreneurship is a major source of...