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Measuring the Impact of Data Augmentation Techniques in Lun..:

, In: 2022 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI),

Davila, Mateo Hidalgo ; Jose Murillo, Juan ; Calisto, Maria Baldeon... - p. 1-6 , 2022

Link: https://doi.org/10.1109/ColCACI56938.2022.9905303

RT 
T1 <cTitle>2022 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI)</cTitle>: T1 <Title>Measuring the Impact of Data Augmentation Techniques in Lung Radiograph Classification Using a Fractional Factorial Design: A Covid-19 Case Study</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-9905303&Exemplar=1&LAN=DE
				
A1 Davila, Mateo Hidalgo
A1 Jose Murillo, Juan
A1 Calisto, Maria Baldeon
A1 Puente-Mejia, Bernardo
A1 Navarrete, Danny
A1 Riofrio, Daniel
A1 Perez, Noel
A1 Benitez, Diego
A1 Moyano, Ricardo Flores
YR 2022
K1 COVID-19
K1 Radiography
K1 Computer vision
K1 Image analysis
K1 Neural networks
K1 Lung
K1 Convolutional neural networks
K1 Medical Image Classification
K1 COVID-19 Detection
K1 Convolutional Neural Networks
K1 Image Data Augmentation
K1 Design of Experiments
K1 Fractional Factorial Design
SP 1
OP 6
LK http://dx.doi.org/https://doi.org/10.1109/ColCACI56938.2022.9905303
DO https://doi.org/10.1109/ColCACI56938.2022.9905303
SF ELIB - SuUB Bremen

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