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Deep learning driven framework for covid-19 detection - a mobile/web application

Author(s)
Syeda Dua Fatima Department of Software Engineering, Bahria University,Islamabad,Pakistan
Muhammad Waleed Khan Department of Software Engineering, Bahria University,Islamabad,Pakistan
Kashif Sultan Department of Software Engineering, Bahria University,Islamabad,Pakistan
Natasha Shahid Department of Software Engineering, Bahria University,Islamabad,Pakistan
Abstract
Due to the rapid spread of COVID-19, this disease has become a global threat to public health. COVID-19 detection via radiographic images such as CXR and HRCT is one of the most effective techniques. Using deep Learning models, the current study investigates COVID-19 disease on radiographic images. This project proposes a deep learning model for HRCT and CXR images to predict a patient's condition. The proposed model classifies images by incorporating VGG16 deep learning models. In addition, symptom analysis is performed to forecast COVID-19. For symptom analysis, xgboost algorithm is used. Lastly, a mobile/web application for detecting COVID-19 using deep learning models on radiographic images is developed. This work may serve as a resource for other researchers seeking to advance the development of deep learning applications for medical imaging.
Publication Details
Page(s) 121-126
DOI DOI not available
Published Journal: ARPN Journal of Engineering and Applied Sciences, Volume: 18, Issue: 2, Year: 2023

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Keywords
COVID-19, COVID-19, COVID-19, CNN, VGG1
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