Mostrando 5 resultados de: 5
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Publisher
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
Computerized Medical Imaging and Graphics(1)
Proceedings of the 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008(1)
Revista Latinoamericana de Hipertension(1)
Área temáticas
Métodos informáticos especiales(3)
Fisiología humana(2)
Ciencias de la computación(1)
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scopus(5)
An unsupervised clustering framework for automatic segmentation of left ventricle cavity in human heart angiograms
ArticleAbstract: Cardiac function is routinely assessed from X-rays angiograms acquired at the cardiac catheterizatioPalabras claves:Cardiac function, cardiac images, Human heart, Left ventricle, segmentation, unsupervised clusteringAutores:Bravo A.J., Ruben Medina MolinaFuentes:scopusA clustering based approach for automatic image segmentation: An application to biplane ventriculograms
Conference ObjectAbstract: This paper reports on an automatic method for ventricular cavity segmentation in angiographic imagesPalabras claves:Autores:Arelis Díaz J., Bravo A.J., Ruben Medina MolinaFuentes:scopusA score function as quality measure for cardiac image enhancement techniques assessment
ArticleAbstract: A score function useful as a quantitative measure of the performance of the medical image enhancemenPalabras claves:cardiac images, Image enhancement, Image enhancement assessment, Image qualityAutores:Bravo A.J., Chacón G., Flórez A., Lameda C., Madriz D., Mar A.D., Pardo A., Rodriguez J.E., Valmore BermúdezFuentes:scopusEdge detection in ventriculograms using support vector machine classifiers and deformable models
Conference ObjectAbstract: In this paper a left ventricle (LV) contour detection method is described. The method works from anPalabras claves:Anatomical landmarks, Deformable models, edge detection, Left ventricle, SUPPORT VECTOR MACHINESAutores:Bravo A.J., Ruben Medina Molina, Vera M.Fuentes:scopusUsing morphological and clustering analysis for left ventricle detection in msct cardiac images
Conference ObjectAbstract: In this paper, an unsupervised approach based on non-linear filtering and region growing techniquesPalabras claves:cardiac images, Human heart, Left ventricle, mathematical morphology, segmentation, unsupervised clusteringAutores:Bravo A.J., Clemente J., Ruben Medina MolinaFuentes:scopus