Mostrando 5 resultados de: 5
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Bioengineering(1)
Computer Methods and Programs in Biomedicine(1)
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Journal of Engineering and Applied Sciences(1)
XII Jornadas Iberoamericanas de Ingenieria de Software e Ingenieria del Conocimiento 2017, JIISIC 2017 - Held Jointly with the Ecuadorian Conference on Software Engineering, CEIS 2017 and the Conference on Software Engineering Applied to Control and Automation Systems, ISASCA 2017(1)
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Métodos informáticos especiales(3)
Ciencias de la computación(2)
Ciencias de la tierra(1)
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Aprendizaje automático(2)
Inmunología(2)
Volcanismo(2)
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Inteligencia artificial(1)
Origen
scopus(5)
Atypical lymphoid cells circulating in blood in COVID-19 infection: morphology, immunophenotype and prognosis value
ArticleAbstract: AimsAtypical lymphocytes circulating in blood have been reported in COVID-19 patients. This study aiPalabras claves:immunophenotyping, Lymphocytes, morphological and microscopic findings, virusesAutores:Acevedo A., Bascón F., Boldú L., Díaz-Pavón M., Egri N., Juan M., Kevin Barrera, Laguna J., Merino A., Molina A., Rodellar J., Sibila O., Sibina F., Vlagea A.Fuentes:scopusAutomatic generation of artificial images of leukocytes and leukemic cells using generative adversarial networks (syntheticcellgan)
ArticleAbstract: Background and objectives: Visual analysis of cell morphology has an important role in the diagnosisPalabras claves:Blood cell automatic recognition, Blood cell synthetic images, convolutional neural networks, deep learning, Generative Adversarial Networks, Image generationAutores:Kevin Barrera, Merino A., Molina A., Rodellar J.Fuentes:scopusA Deep Learning Approach for the Morphological Recognition of Reactive Lymphocytes in Patients with COVID-19 Infection
ArticleAbstract: Laboratory medicine plays a fundamental role in the detection, diagnosis and management of COVID-19Palabras claves:blood cell images, Cell morphology, convolutional neural networks, covid-19, deep learning, diagnosis, prognosis, reactive lymphocytesAutores:Alférez S., Boldú L., Kevin Barrera, Laguna J., Merino A., Molina A., Rodellar J.Fuentes:scopusUse of neural networks to the detection of pyroclastic flows in Ecuador volcanoes
Conference ObjectAbstract: Neural networks are oriented to provide solutions that require a complex computational solution andPalabras claves:neural network, Pyroclastic flows, VolcanoesAutores:Christyan Cruz, Darío L. Mendoza, Francisco Xavier Viteri, Kevin BarreraFuentes:scopusUsing computer vision techniques to generate embedded systems for monitoring volcanoes in Ecuador with Trajectory determination
ArticleAbstract: Ecuador is a country with a great number of volcanoes, 27 active in the part continental and insularPalabras claves:artificial vision, Autonomous, Embedded Systems, Noise inherent exist, Volcanic phenomenaAutores:Christyan Cruz, Darío L. Mendoza, Francisco Xavier Viteri, Kevin BarreraFuentes:scopus