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

Hasani, Sharif and Nasiri, Hamid (2022) COV-ADSX : An Automated Detection System using X-ray Images, Deep Learning, and XGBoost for COVID-19. Software Impacts, 11: 100210. ISSN 2665-9638

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Abstract

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.

Item Type:
Journal Article
Journal or Publication Title:
Software Impacts
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1712
Subjects:
?? chest x-ray imagescovid-19deep neural networksdensenet169xgboostsoftware ??
ID Code:
223550
Deposited By:
Deposited On:
04 Sep 2024 15:50
Refereed?:
Yes
Published?:
Published
Last Modified:
04 Sep 2024 15:50