Deep learning techniques for the real time detection of Covid19 and pneumonia using chest radiographs
19th IEEE International Conference on Smart Technologies, EUROCON 2021
; : 250-253, 2021.
Article
in English
| Scopus | ID: covidwho-1467492
ABSTRACT
The newly detected virus also called coronavirus spreads the disease Covid19. World Health Organization (WHO) confirmed this virus as a worldwide pandemic as it has infected millions of people and has taken away many lives across the globe. An infection caused by Covid19 disease majorly destroys the respiratory tract of human beings that ends with multiple organ failures or death in the worst case. In the present work, chest radiographs were provided as input to various deep learning CNN architectures for the purpose of feature extraction. After extracting the features, the images were provided as the input to various machine learning classifiers that classify the chest radiographs as Covid-19 positive, pneumonia infection, or healthy scans. © 2021 IEEE.
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Databases of international organizations
Database:
Scopus
Language:
English
Journal:
19th IEEE International Conference on Smart Technologies, EUROCON 2021
Year:
2021
Document Type:
Article
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