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1 Ergebnisse
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A Deep Learning Framework for COVID-19 Detection in X-Ray I..:
, In:
2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)
,
M, Arul Raj A.
;
R, Sugumar
- p. 1-6 , 2023
Link:
https://doi.org/10.1109/ViTECoN58111.2023.10157404
RT T1
2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)
: T1
A Deep Learning Framework for COVID-19 Detection in X-Ray Images with Global Thresholding
UL https://suche.suub.uni-bremen.de/peid=ieee-10157404&Exemplar=1&LAN=DE A1 M, Arul Raj A. A1 R, Sugumar YR 2023 K1 COVID-19 K1 Deep learning K1 Thresholding (Imaging) K1 Neural networks K1 Imaging K1 X-rays K1 Feature extraction K1 Convolutional Neural Network (CNN) K1 Global thresholding K1 Binary images K1 Lung opacity K1 X-ray images K1 Image classification SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ViTECoN58111.2023.10157404 DO https://doi.org/10.1109/ViTECoN58111.2023.10157404 SF ELIB - SuUB Bremen
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