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

2021; Elsevier BV; Volume: 11; Linguagem: Inglês

10.1016/j.simpa.2021.100210

2665-9638

Sharif Hasani, Hamid Nasiri,

AI in cancer detection

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.