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COVID-19 classification using thermal images : thermal i..:

, In: Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics,

Canales-Fiscal, Martha Rebeca ; López, Rocío Ortiz ; Barzilay, Regina... - p. 1-5 , 2021

Link: https://dl.acm.org/doi/10.1145/3459930.3469558

RT 
T1 <cTitle>Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics</cTitle>: T1 <Title>COVID-19 classification using thermal images				: thermal images capability for identifying COVID-19 using traditional machine learning classifiers</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3469558&Exemplar=1&LAN=DE
				
A1 Canales-Fiscal, Martha Rebeca
A1 López, Rocío Ortiz
A1 Barzilay, Regina
A1 Treviño, Víctor
A1 Cardona-Huerta, Servando
A1 Ramírez-Treviño, Luis Javier
A1 Yala, Adam
A1 Tamez-Peña, José
PB ACM
YR 2021
K1 COVID-19 classification
K1 machine learning
K1 thermal images
K1 thermal videos
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Classification and regression trees
K1 Applied computing
K1 Life and medical sciences
K1 Computational biology
K1 Imaging
SP 1
OP 5
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3459930.3469558
DO https://dl.acm.org/doi/10.1145/3459930.3469558
SF ELIB - SuUB Bremen

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