Mostrando 10 resultados de: 36
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Proceedings of SPIE - The International Society for Optical Engineering(8)
Adaya Press(2)
2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019(1)
Advances in Intelligent Systems and Computing(1)
Applied Sciences (Switzerland)(1)
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Enfermedades(11)
Escuelas y sus actividades; educación especial(10)
Medicina y salud(8)
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Colors vision effect: Learning and teaching strategies based on reading nature images
Conference ObjectAbstract: The present work shows the teaching and motivation of University students to think about optics andPalabras claves:Color test, Color vision, Optics, SunsetsAutores:A. Sánchez-Juárez, Castillo P., César W. Granda, Luis Alberto Cuenca Macas, Vivanco-Galván O., Yuliana Jiménez-GaonaFuentes:scopusAssessment of mesial temporal sclerosis through MRI processing
Conference ObjectAbstract: Mesial temporal sclerosis (MTS) is the principal cause of complex epilepsy, is manifested principallPalabras claves:brain MRI, Epilepsy, Hippocampal volume, Machine learning, Mesial temporal sclerosisAutores:Andrés Sánchez, Castillo P., Darwin Patricio Castillo Malla, J. Carrión, René J. Samaniego, Rodríguez‐álvarez M.J., Yuliana Jiménez-GaonaFuentes:googlescopusBreast Mass Regions Preprocessing and Classification from Mammograms using Convolutional Neural Networks
OtherAbstract: Background: Digital mammography imaging is a common diagnostic tool for early detection and classifiPalabras claves:Autores:Yuliana Jiménez-GaonaFuentes:googleAPLICACIÓN DEL ALGORITMO GSP_M PARA LA IDENTIFICACIÓN DE PATRONES DE USUARIOS SOBRE AMBIENTES EDUCATIVOS
OtherAbstract: Este artículo presenta la aplicación del algoritmo GSP_M [12] para clasificar las preferencias de loPalabras claves:Autores:Yuliana Jiménez-GaonaFuentes:googleDeep-learning-based computer-aided systems for breast cancer imaging: a critical review
OtherAbstract: This paper provides a critical review of the literature on deep learning applications in breast tumoPalabras claves:Autores:Yuliana Jiménez-GaonaFuentes:googleDeep‐learning‐based computer‐aided systems for breast cancer imaging: A critical review
ReviewAbstract: This paper provides a critical review of the literature on deep learning applications in breast tumoPalabras claves:Breast Cancer, Computer‐aided diagnosis, convolutional neural networks, deep learning, Mammography, UltrasoundAutores:Lakshminarayanan V., Rodríguez‐álvarez M.J., Yuliana Jiménez-GaonaFuentes:scopusDemyelinating and ischemic brain diseases: Detection algorithm through regular magnetic resonance images
Conference ObjectAbstract: This work presents the advance to development of an algorithm for automatic detection of demyelinatiPalabras claves:Brain disease, Demyelinating, IMAGE PROCESSING, ischemia, MRIAutores:Castillo P., Luis Alberto Cuenca Macas, René J. Samaniego, Rodríguez‐álvarez M.J., Vivanco-Galván O., Yuliana Jiménez-GaonaFuentes:googlescopusDenseNet for Breast Tumor Classification in Mammographic Images
Conference ObjectAbstract: Breast cancer screening is an efficient method to detect breast lesions early. The common screeningPalabras claves:Breast tumor classification, Convolutional neural network, deep learning, DenseNet, Mammography, RoI alignAutores:Castillo P., Espino-Morato H., Lakshminarayanan V., Rodríguez‐álvarez M.J., Yuliana Jiménez-GaonaFuentes:googlescopusCategorización de los tipos de Internautas basada en sus preferencias de navegación dentro de ambientes educativos
OtherAbstract: Este artículo presenta la aplicación del algoritmo GSP_M para clasificar las preferencias de los usuPalabras claves:Autores:Yuliana Jiménez-GaonaFuentes:googleAprendizaje de la matemática basado en el contexto de las ciencias: Mathematics learning based on the science context
OtherAbstract: Este trabajo de innovación docente tiene como propósito promover la comprensión sobre temas fundamenPalabras claves:Autores:Darwin Patricio Castillo Malla, Jose Ramon Delgado Fernández, Yuliana Jiménez-GaonaFuentes:google