Mostrando 3 resultados de: 3
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Subtipo de publicación
Conference Object(3)
Área temáticas
Enfermedades(2)
Medicina y salud(2)
Ciencias de la computación(1)
Ginecología, obstetricia, pediatría, geriatría(1)
Métodos informáticos especiales(1)
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Aprendizaje automático(2)
Ciencias de la computación(2)
Computadora(1)
Neurología(1)
Año de Publicación
2022(3)
A Deep Convolutional Autoencoder Architecture for Automatic Image Colorization
Conference ObjectAbstract: The inherent complexity of image colorization has motivated computer scientists towards the developmPalabras claves:cnn, deep convolutional autoencoder, Image colorization, VGGAutores:Daniel Riofrio, Diego S. Benitez, Maria G. Baldeon Calisto, Noel Perez, Ricardo Flores Moyano, Stefano CevallosFuentes:scopusMeasuring the Impact of Data Augmentation Techniques in Lung Radiograph Classification Using a Fractional Factorial Design: A Covid-19 Case Study
Conference ObjectAbstract: Convolutional neural networks (CNNs) have become dominant in various computer vision tasks, obtaininPalabras claves:convolutional neural networks, Covid-19 Detection, design of experiments, Fractional Factorial Design, Image Data Augmentation, Medical Image ClassificationAutores:Bernardo Puente-Mejia, Daniel Riofrio, Danny Navarrete, Diego S. Benitez, Jose Murillo J., Maria G. Baldeon Calisto, Mateo Hidalgo Davila, Noel Perez, Ricardo Flores MoyanoFuentes:scopusU-Net Variations for Spontaneous Intracranial Hemorrhages Detection on CT Images
Conference ObjectAbstract: Brain injuries represent one of the most severe medical problems that affect people health worldwidePalabras claves:Computerized tomography scan, Convolutional neural network, deep learning, ICH, image segmentation, U-netAutores:Daniel Riofrio, Diego S. Benitez, Luis A. Erazo, Maria G. Baldeon Calisto, Noel Perez, Ricardo Flores MoyanoFuentes:googlescopus