Automatic System for COVID-19 Diagnosis

Authors

  • Seyyid Ahmed Medjahed Ahmed Zabana University Center
  • Mohammed Ouali Thales Canada Inc.

DOI:

https://doi.org/10.13053/cys-24-3-3366

Keywords:

COVID-19 diagnosis, feature extraction, feature selection, classification, multi-verses optimizer

Abstract

During the last months, the virus COVID 19 spread globally, quickly and affected many people. This last, is an infection caused by severe acute respiratory. Unfortunately, the number of cases increases significantly and early diagnosis of this disease can help to save the health of patient and his entourage by stopping contamination. In this paper, we propose a process of COVID 19 diagnosis in Chest X-rays. This process is composed of three main steps. The first one is the feature extraction using four approaches. The second one is the feature selection phase using a new feature selection approach. The last phase is the classification. The classifier used in this approach is composed of four supervised classification approaches. The proposed work has been tested COVID-19 in X-ray images obtained by PyImageSearch.

Downloads

Published

2020-09-29

Issue

Vol. 24 No. 3 (2020): 24(3) 2020

Section

Articles

License 

Hereby I transfer exclusively to the Journal "Computación y 
Sistemas", published by the Computing Research Center (CIC-IPN),
the Copyright of the aforementioned paper. I also accept that these 
rights will not be transferred to any other publication, in any other 
format, language or other existing means of developing.
I certify that the paper has not been previously disclosed or simultaneo
usly submitted to any other publication, and that it does not contain 
material whose publication would violate the Copyright or other 
proprietary rights of any person, company or institution. I certify that 
I have the permission from the institution or company where I work or 
study to publish this work.
The representative author accepts the responsibility for the publication
of this paper on behalf of each and every one of the authors. 
This transfer is subject to the following conditions:
  • The authors retain all ownership rights (such as patent rights) of this work, except for the publishing rights transferred to the CIC, through this document.
  • Authors retain the right to publish the work in whole or in part in any book they are the authors or publishers. They can also make use of this work in conferences, courses, personal web pages, and so on.
  • Authors may include working as part of his thesis, for non-profit distribution only.