COV-ADSX: An Automated Detection System using X-ray Images, Deep Learning, and XGBoost for COVID-19

Following the COVID-19 pandemic, scientists have been looking for different ways to diagnose COVID-19, and these efforts have led to a variety of solutions. One of the common methods of detecting infected people is chest radiography. In this paper, an Automated Detection System using X-ray images (C...

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Detalles Bibliográficos
Autores principales: Hasani, Sharif, Nasiri, Hamid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2022
Materias:
Original Software Publication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715628/
https://www.ncbi.nlm.nih.gov/pubmed/34977600
http://dx.doi.org/10.1016/j.simpa.2021.100210
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author Hasani, Sharif
Nasiri, Hamid
author_facet Hasani, Sharif
Nasiri, Hamid
author_sort Hasani, Sharif
collection PubMed
description Following the COVID-19 pandemic, scientists have been looking for different ways to diagnose COVID-19, and these efforts have led to a variety of solutions. One of the common methods of detecting infected people is chest radiography. In this paper, an Automated Detection System using X-ray images (COV-ADSX) is proposed, which employs a deep neural network and XGBoost to detect COVID-19. COV-ADSX was implemented using the Django web framework, which allows the user to upload an X-ray image and view the results of the COVID-19 detection and image’s heatmap, which helps the expert to evaluate the chest area more accurately.
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spelling pubmed-87156282021-12-29 COV-ADSX: An Automated Detection System using X-ray Images, Deep Learning, and XGBoost for COVID-19 Hasani, Sharif Nasiri, Hamid Softw Impacts Original Software Publication Following the COVID-19 pandemic, scientists have been looking for different ways to diagnose COVID-19, and these efforts have led to a variety of solutions. One of the common methods of detecting infected people is chest radiography. In this paper, an Automated Detection System using X-ray images (COV-ADSX) is proposed, which employs a deep neural network and XGBoost to detect COVID-19. COV-ADSX was implemented using the Django web framework, which allows the user to upload an X-ray image and view the results of the COVID-19 detection and image’s heatmap, which helps the expert to evaluate the chest area more accurately. The Author(s). Published by Elsevier B.V. 2022-02 2021-12-29 /pmc/articles/PMC8715628/ /pubmed/34977600 http://dx.doi.org/10.1016/j.simpa.2021.100210 Text en © 2021 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original Software Publication
Hasani, Sharif
Nasiri, Hamid
COV-ADSX: An Automated Detection System using X-ray Images, Deep Learning, and XGBoost for COVID-19
title COV-ADSX: An Automated Detection System using X-ray Images, Deep Learning, and XGBoost for COVID-19
title_full COV-ADSX: An Automated Detection System using X-ray Images, Deep Learning, and XGBoost for COVID-19
title_fullStr COV-ADSX: An Automated Detection System using X-ray Images, Deep Learning, and XGBoost for COVID-19
title_full_unstemmed COV-ADSX: An Automated Detection System using X-ray Images, Deep Learning, and XGBoost for COVID-19
title_short COV-ADSX: An Automated Detection System using X-ray Images, Deep Learning, and XGBoost for COVID-19
title_sort cov-adsx: an automated detection system using x-ray images, deep learning, and xgboost for covid-19
topic Original Software Publication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715628/
https://www.ncbi.nlm.nih.gov/pubmed/34977600
http://dx.doi.org/10.1016/j.simpa.2021.100210
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