Digital Image Processing

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Detection of COVID-19 Infection from Chest X-Ray Images using CNN


Affiliations
1 Department of CSE, SJB Institute of Technology, Bangalore, India
2 Department of CSE, SJB Institute of Technology, Bangalore, India
     

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The diagnosis of SARS CoV-2, which is held accountable for corona virus disease, utilizing radiographic images has vital significance for both the sufferer and the Health personnel. Moreover, the nations which are incompetent in acquiring laboratory kits for diagnosis purpose, here it becomes even more crucial. In our model, we target to symbolize the usage of deep neural network for the ability to detect the SARS CoV-2 using radiographic images. Openly attainable radiographic images were utilized in the testing, which requires building of deep neural network and machine learning classifiers. The mean accuracy of 98.50% is attained.

Keywords

Corona Virus, CNN, COVID-19.
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  • Detection of COVID-19 Infection from Chest X-Ray Images using CNN

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Authors

Dhruv Rao
Department of CSE, SJB Institute of Technology, Bangalore, India
G. Bindu Priya
Department of CSE, SJB Institute of Technology, Bangalore, India
D. Harshini
Department of CSE, SJB Institute of Technology, Bangalore, India
B. C. Varshini
Department of CSE, SJB Institute of Technology, Bangalore, India
Basamma Umesh Patil
Department of CSE, SJB Institute of Technology, Bangalore, India

Abstract


The diagnosis of SARS CoV-2, which is held accountable for corona virus disease, utilizing radiographic images has vital significance for both the sufferer and the Health personnel. Moreover, the nations which are incompetent in acquiring laboratory kits for diagnosis purpose, here it becomes even more crucial. In our model, we target to symbolize the usage of deep neural network for the ability to detect the SARS CoV-2 using radiographic images. Openly attainable radiographic images were utilized in the testing, which requires building of deep neural network and machine learning classifiers. The mean accuracy of 98.50% is attained.

Keywords


Corona Virus, CNN, COVID-19.

References