Medical image-based detection of COVID-19 using Deep Convolution Neural Networks

The demand for automatic detection of Novel Coronavirus or COVID-19 is increasing across the globe. The exponential rise in cases burdens healthcare facilities, and a vast amount of multimedia healthcare data is being explored to find a solution. This study presents a practical solution to detect CO...

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Veröffentlicht in:	Multimedia systems Jg. 29; H. 3; S. 1729 - 1738
Hauptverfasser:	Gaur, Loveleen, Bhatia, Ujwal, Jhanjhi, N. Z., Muhammad, Ghulam, Masud, Mehedi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2023 Springer Nature B.V
Schlagworte:	Accuracy Algorithms Applications programs Artificial neural networks Business analytics Classification Comparative analysis Computer Communication Networks Computer Graphics Computer Science Computer vision Convolution COVID-19 Cryptology Data Storage Representation Datasets Decision making Deep learning Health care facilities Lung diseases Machine learning Medical diagnosis Medical imaging Medical research Mobile computing Multimedia Multimedia Information Systems Neural networks Operating Systems Performance measurement Pneumonia Role of Deep Learning Models & Analytics in Industrial Multimedia Environment Special Issue Paper X-rays COVID-19 Deep learning Computer vision Chest X-rays Transfer learning Deep CNN
ISSN:	0942-4962, 1432-1882
Online-Zugang:	Volltext
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