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2022 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2022 - Proceedings(2)
Artificial Intelligence in Medicine(1)
Computational Methods in Applied Sciences(1)
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(1)
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Analyzing the Effect of Basic Data Augmentation for COVID-19 Detection through a Fractional Factorial Experimental Design
ArticleAbstract: The COVID-19 pandemic has created a worldwide healthcare crisis. Convolutional Neural Networks (CNNsPalabras 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, Juan Jose Murillo, Maria G. Baldeon Calisto, Mateo Hidalgo Davila, Noel Perez, Ricardo Flores MoyanoFuentes:scopusA new semiautomatic method for ICH segmentation and tracking from CT head images
Conference ObjectAbstract: Recently, computer-aided diagnosis (CAD) has become one of the major research subjects in medical imPalabras claves:Autores:Guevara M.A., Noel Perez, Rodríguez L.A., Silva A.J., Valdés J.A.Fuentes:googlescopusImproving breast cancer classification with mammography, supported on an appropriate variable selection analysis
Conference ObjectAbstract: This work addresses the issue of variable selection within the context of breast cancer classificatiPalabras claves:Breast cancer classification, Clinical descriptors, Image-based descriptors, Machine learning algorithms, Mammography, Variable selection analysisAutores:Guevara M.A., Noel Perez, Silva A.Fuentes:googlescopusImproving the Mann-Whitney statistical test for feature selection: An approach in breast cancer diagnosis on mammography
ArticleAbstract: Objective: This work addresses the theoretical description and experimental evaluation of a new featPalabras claves:Breast cancer CADx, Feature selection methods, Machine learning algorithms, Mann-Whitney U-test, Redundancy analysis, UFilter methodAutores:Guevara M.A., Noel Perez, Ramos I., Silva A.Fuentes:googlescopusMeasuring 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:googlescopusSet of methods for spontaneous ICH segmentation and tracking from CT head images
Conference ObjectAbstract: Spontaneous intracerebral hemorrhage (ICH) is a common cause of stroke, due to this; the early evoluPalabras claves:3D mathematic morphology, Deformable models, Intracerebral Hemorrhage, Medical images analysis, Segmentation and trackingAutores:Guevara M.A., Molina J.M., Noel Perez, Rodríguez L.A., Valdés J.A.Fuentes:googlescopusSpontaneous intracerebral hemorrhage image analysis methods: A survey
Conference ObjectAbstract: Spontaneous intracerebral hemorrhages (ICH) account for 10-30% all strokes and are a result of acutePalabras claves:Autores:Guevara M.A., Noel Perez, Silva A., Valdés J.A.Fuentes:googlescopus