Listar por autor "Valbuena, O."
Mostrando ítems 1-4 de 4
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A computational strategy for the identification of pulmonary squamous cell carcinoma in computerized tomography images
Huerfano, Y.; Vera, M.; Gelvez, E.; Salazar, J.; Del Mar, A.; Valbuena, O.; Molina, V. (IOP Publishing, 2019)The objective of the work is to propose a computational strategy to identify lung squamous cell carcinoma in three-dimensional databases (3D) of multislice computerized tomography. This strategy consists of the pre-processing, ... -
Computational strategy for the segmentation of the aortic annulus in cardiac computed tomography images
Valbuena, O.; Vera, M.; Huérfano, Y.; Gelvez, E.; Salazar, J.; Molina, V.; Sáenz, F.; Vera, M I.; Salazar, W. (IOP Publishing, 2019)The purpose of this research is to segment the aortic annulus, present in cardiac computed tomography images, from a computational strategy generated using global similarity enhancement, vector least squares support ... -
Isotropic versus anisotropic techniques in cardiac computed tomography images processing
Barrera, D.; Valbuena, O.; Vera, M.; Huérfano, Y.; Gelvez, E.; Salazar, J.; Molina, V.; Sáenz, F.; Vera, M I.; Salazar, W. (IOP Publishing, 2019)The objective of the work is to compare the performance of two filters, one isotropic and another one of anisotropic diffusion based on gradient. To do this, experiments are carried out to establish which of the filters ... -
Segmentation of brain tumors using a semi-automatic computational strategy
Vera, M.; Huérfano, Y.; Gelvez, E.; Valbuena, O.; Salazar, J.; Molina, V.; Vera, M I.; Salazar, W.; Sáenz, F. (IOP Publishing, 2019)In this work, a semi-automatic computational strategy is proposed for brain tumor segmentation. The filtering (erosion + gaussian filters), segmentation (level set technique) and quantification (BT volume) stages are ...