Mostrando 7 resultados de: 7
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Fisiología humana(3)
Medicina y salud(3)
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Computational model of the pulmonary valve in hypertensive contexts
ArticleAbstract: Astrategy for pulmonary valve (PV) three-dimensional segmentation is proposed using 20 cardiac imagiPalabras claves:Filtering process, Pulmonary Valve, Segmentation.Autores:Arias V., Bravo A.J., Chacón J.G., Contreras-Velásquez J.C., Dávila L.C.A., Garicano C.M.D., González M.C., Graterol-Rivas M., Huerfano Y., Joselyn Zula, Mar A.D., Maritza Torres, Rianõ-Wilches D., Rina Ortiz, Rojas-Gómez D.M., Rojas-Quintero J., Valmore Bermúdez, Vera M., Wilches-Duran S., Wilson SigüenciaFuentes:googlescopusAn introduction to artificial intelligence applications in medicine: Historical aspects
ReviewAbstract: in a broad sense, artificial intelligence and machine learning have been applied to medical data sinPalabras claves:Artificial Intelligence, DATABASES, innovation, Medical recordsAutores:Añez-Ramos R., Arias V., Chacón G., Contreras J., Garicano C.M.D., González M.C., Rojas-Quintero J., Salazar-Vílchez J., Valmore BermúdezFuentes:scopus3D printing of cardiac structures: A case of frugal innovation in the health sector
ArticleAbstract: The people at the base of the pyramid have been a population historically excluded by the traditionaPalabras claves:3D Printing, base of the pyramid, Frugal innovation, segmentationAutores:Arias V., Chacón J.G., Contreras-Velásquez J.C., Garicano C.M.D., González M.C., Graterol-Rivas M., Huerfano Y., Rojas-Quintero J., Valmore Bermúdez, Vera M., Wilches-Duran S.Fuentes:scopusMedical imaging segmentation methods: Foundations and scope
ArticleAbstract: ardiac structures segmentation is a great interest issue to medical community, particularly, in cardPalabras claves:Computed axial tomography, Coronary artery disease, Ecocardiography, Heart Failure, Segmentation methodsAutores:Aguirre M.A., Arias V., Bautista N., Bravo A.J., Cerda M., Chacón J.G., Contreras J., Garicano C.M.D., González M.C., Graterol R., Hernández J.D., Huerfano Y., Mar A.D., Martínez M.S., Peña A., Rivas M.G., Rojas-Quintero J., Valmore Bermúdez, Vera M., Wilches S.Fuentes:scopusRight atrium computational segmentation in cardiac tomography images
ArticleAbstract: strategy for right atrium (RA) three-dimensional segmentation is proposed using 20 cardiac imaging mPalabras claves:cardiac images, Global Similarity Enhancement, Right atrium, segmentationAutores:Arias V., Bravo A.J., Carem Prieto, Chacón J.G., Contreras-Velásquez J.C., Dávila L.C.A., Garicano C.M.D., González M.C., Graterol-Rivas M., Huerfano Y., Joselyn Zula, Mar A.D., Maritza Torres, Rina Ortiz, Rojas-Gómez D.M., Rojas-Quintero J., Salazar W., Valmore Bermúdez, Vera M., Wilches-Duran S., Wilson SigüenciaFuentes:googlescopusSuperior vena cava computational segmentation and hypertensive processes
ArticleAbstract: Astrategy for superior vena cava (SVC) three-dimensional segmentation is proposed using 20 cardiac iPalabras claves:Autores:Arias V., Bravo A.J., Carem Prieto, Chacón J.G., Contreras-Velásquez J.C., Dávila L.C.A., Garicano C.M.D., González M.C., Graterol-Rivas M., Huerfano Y., Joselyn Zula, Mar A.D., Maritza Torres, Rianõ-Wilches D., Rina Ortiz, Rojas-Gómez D.M., Rojas-Quintero J., Valmore Bermúdez, Vera M., Wilches-Duran S., Wilson SigüenciaFuentes:googlescopusThe San José de cúcuta metabolic syndrome prevalence study: Design and scop
ArticleAbstract: The metabolic syndrome (MetS) is a cluster of interrelated risk factors -including obesity, atherogePalabras claves:Cardiovascular Risk Factors, dyslipidemia, Hypertension, Metabolic syndrome, obesityAutores:Acuña M., Añez-Ramos R., Armesto L., Bautista M.J., Cerda M., Chacón J.G., Contreras J., Garicano C.M.D., González M.C., Graterol M., Graterol R., Hernández C., Hernández J.D., Martínez M.S., Ramírez C., Riaño-Garzón M.E., Rojas-Quintero J., Salazar-Vílchez J., Valmore Bermúdez, Vera M., Wilches S.Fuentes:scopus