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Mostrando ítems 11-20 de 29

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Biochemical and clinical characterization of metabolic phenotypes: a cross-sectional study from Maracaibo city, Venezuela [version 1; referees: awaiting peer review] 

Bermudez, Valmore; Rojas, Joselyn; Salazar, Juan; Martinez, Maria Sofia; Olivar, Luis; Calvo, Maria Jose; Mindiola, Andres; Añez, Roberto; Wilches-Duran, Sandra; Cerda, Marcos; Graterol, Modesto; Graterol, Rosemily; Hernandez, Juan Diego; Garicano, Carlos; Velasco, Manuel (is published by F1000 Research Ltd, 2018-02)
Background: In 1980, Reuben Andresen observed that in certain individuals, obesity did not increase mortality, introducing an atypical phenotype called “healthy obese”. Other studies reported that 10-15 % of lean individuals presented insulin resistance, hyperglycemia and dyslipidemia. The objective of this study was to evaluate biochemical and clinical characteristics of metabolic phenotypes in Maracaibo city. Methods: A descriptive, cross-sectional study with a randomized multistage sampling was performed including 1226 non diabetic ...
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Insulin resistance indices and coronary risk in adults from Maracaibo city, Venezuela: A cross sectional study [version 1; referees: 1 approved with reservations] 

Salazar, Juan; Bermúdez, Valmore; Olivar, Luis Carlos; Torres, Wheeler; Palmar, Jim; Añez, Roberto; Ordoñez, Maria Gratzia; Rivas, José Ramón; Martínez, María Sofía; Hernández, Juan Diego; Graterol, Modesto; Rojas, Joselyn (is published by F1000 Research Ltd, 2018-03)
Background: Insulin resistance (IR) is a metabolic disorder related to atherosclerosis. Its measurement is of great importance not only as a marker of diabetes but also for cardiovascular disease. The aim of this research study was to evaluate the relationship between various IR indices and coronary risk in an adult population from Maracaibo city, Venezuela. Methods: The Maracaibo City Metabolic Syndrome Prevalence Study is a descriptive, cross-sectional study with random and multi-stage sampling. In this sub study, 1272 individuals of ...
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Una introducción a las aplicaciones de la inteligencia artificial en Medicina: Aspectos históricos 

Arias, Victor; Salazar, Juan; Gariciano, Carlos; Contreras, Julio; Chacón, Gerardo; Chacín-González, Maricarmen; Añez, Roberto; Rojas, Joselyn; Bermúdez-Pirela, Valmore (Cooperativa servicios y suministros 212518 RS, 2019)
En un sentido amplio la inteligencia artificial y el aprendizaje automático se ha aplicado a los datos médicos desde los inicios de la informática dado el profundo arraigo de esta área en la innovación, pero los últimos años han sido testigo de una generación cada vez mayor de datos relacionados con las ciencias de la salud, cuestión que ha dado nacimiento a un nuevo campo de las ciencias de la computación llamado big data. Los datos médicos a gran escala (en forma de bases de datos estructuradas y no estructuradas) si son apropiadamente ...
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High grade glioma segmentation in magnetic resonance imaging 

Vera, Miguel; Huérfano, Yoleidy; Martínez, Luis Javier; Contreras, Yudith; Salazar, Williams; Vera, María Isabel; Valbuena, Oscar; Borrero, Maryury; Hernández, Carlos; Barrera, Doris; Molina, Ángel Valentín; Salazar, Juan; Gelvez, Elkin; Sáenz, Frank; Hoyos, Diego; Arias, Yeny (Sociedad Latinoamericana de Hipertensión, 2018)
Through this work we propose a computational technique for the segmentation of magnetic resonance images (MRI) of a brain tumor, identified as high grade glioma (HGG), specifically grade III anaplastic astrocytoma. This technique consists of 3 stages developed in the threedimensional domain. They are: pre-processing, segmentation and post-processing. The pre-processing stage uses a thresholding technique, morphological erosion filter (MEF), in gray scale, followed by a median filter and a gradient magnitude algorithm. On the other hand, ...
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Low grade glioma segmentation using an automatic computational technique in magnetic resonance imaging 

Vera, Miguel; Huérfano, Yoleidy; Valbuena, Oscar; Contreras, Yudith; Cuberos, María; Vivas, Marisela; Salazar, Williams; Vera, María Isabel; Borrero, Maryury; Hernández, Carlos; Barrera, Doris; Molina, Ángel Valentín; Martínez, Luis Javier; Salazar, Juan; Gelvez, Elkin; Sáenz, Frank (Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
Through this work we propose a computational technique for the segmentation of a brain tumor, identified as low grade glioma (LGG), specifically grade II astrocytoma, which is present in magnetic resonance images (MRI). This technique consists of 3 stages developed in the three-dimensional domain. They are: pre-processing, segmentation and postprocessing. The percent relative error (PrE) is considered to compare the segmentations of the LGG, generated by a neuro- oncologist manually, with the dilated segmentations of the LGG, obtained ...
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Volumetry of epidural hematomas in computed tomography images: Comparative study between linear and volumetric methods 

Vera, Miguel; Huérfano, Yoleidy; Hernández, Carlos; Valbuena, Oscar; Salazar, Williams; Vera, María Isabel; Barrera, Doris; Borrero, Maryury; Molina, Ángel Valentín; Martínez, Luis Javier; Salazar, Juan; Gelvez, Elkin; Contreras, Yudith; Saenz, Frank (Sociedad Latinoamericana de Hipertensión, 2018)
This work evaluates the performance of some methods employed for assessing the volume of seven subdural hematomas (EDH), present in multi-layer computed tomography images. Firstly, a reference volume is considered to be that obtained by a neurosurgeon using the manual planimetric method (MPM). Secondly, the volume of the 7 EDHs is obtained considering both the original version of the ABC/2 method and two of its variants, identified in this paper as ABC/3 method and 2ABC/3 method. The ABC methods allow for calculation of the volume of ...
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Digital processing of medical images: application in synthetic cardiac datasets using the CRISP_DM methodology 

Contreras, Yudith; Vera, Miguel; Huérfano, Yoleidy; Valbuena, Oscar; Salazar, Williams; Vera, María Isabel; Borrero, Maryury; Barrera, Doris; Hernández, Carlos; Molina, Ángel Valentín; Martínez, Luis Javier; Sáenz, Frank; Vivas, Marisela; Salazar, Juan; Gelvez, Elkin (Sociedad Latinoamericana de Hipertensión, 2018)
In this work an adaptation of the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology, in the context of digital medical image processing is proposed. Specifically, synthetic images reported in the literature are used as numerical phantoms. Construction of the synthetic images was inspired by a detailed analysis of some of the imperfections found in the real multilayer cardiac computed tomography images. Of all the imperfections considered, only Poisson noise was selected and incorporated into a synthetic database. ...
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Automatic segmentation of epidural hematomas using a computational technique based on intelligent operators: a clinical utility 

Salazar, Juan; Vera, Miguel; Huérfano, Yoleidy; Valbuena, Oscar; Salazar, Williams; Vera, María Isabel; Gelvez, Elkin; Contreras, Yudith; Borrero, Maryury; Vivas, Marisela; Barrera, Doris; Hernández, Carlos; Molina, Ángel Valentín; Martínez, Luis Javier; Sáenz, Frank (Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
This paper proposes a non-linear computational technique for the segmentation of epidural hematomas (EDH), present in 7 multilayer computed tomography brain imaging databases. This technique consists of 3 stages developed in the three-dimensional domain, namely: pre-processing, segmentation and quantification of the volume occupied by each of the segmented EDHs. To make value judgments about the performance of the proposed technique, the EDH dilated segmentations, obtained automatically, and the EDH segmentations, generated manually by ...
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Assessment of methods for volumetric quantification of intracerebral hematomas in computerized tomography images 

Vera, Miguel; Huérfano, Yoleidy; Barrera, Doris; Valbuena, Oscar; Salazar, Williams; Vera, María Isabel; Hernández, Carlos; Vivas, Marisela; Borrero, Maryury; Molina, Ángel Valentín; Martínez, Luis Javier; Salazar, Juan; Gelvez, Elkin; Contreras, Yudith; Sáenz, Frank (Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
This work evaluates the performance of computational methods aimed at volume generation of five intracerebral hematomas (ICH), present in multi-layer computed tomography images, by means of three complementary steps. First. A ground truth volume or reference volume (RV) is considered. This RV is obtained, by a neurosurgeon, using the manual planimetric method (MPM). In a second step, the volumetry of the 5 ICH’s is obtained considering both the original version of the ABC/2 method and two of its variants, identified in this paper as ABC/3 ...
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Automatic segmentation of a meningioma using a computational technique in magnetic resonance imaging 

Vera, Miguel; Huérfano, Yoleidy; Molina, Ángel Valentín; Valbuena, Oscar; Vivas, Marisela; Cuberos, María; Salazar, Williams; Vera, María Isabel; Borrero, Maryury; Hernández, Carlos; Barrera, Doris; Martínez, Luis Javier; Salazar, Juan; Gelvez, Elkin; Contreras, Yudith; Sáenz, Frank (Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
Through this work we propose a computational technique for the segmentation of a brain tumor, identified as meningioma (MGT), which is present in magnetic resonance images (MRI). This technique consists of 3 stages developed in the three-dimensional domain: pre-processing, segmentation and post-processing. The percent relative error (PrE) is considered to compare the segmentations of the MGT, generated by a neuro-oncologist manually, with the dilated segmentations of the MGT, obtained automatically. The combination of parameters linked ...
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Bermúdez, Valmore (14)Rojas, Joselyn (13)Añez, Roberto (12)Barrera, Doris (9)Borrero, Maryury (9)Contreras, Yudith (9)Gelvez, Elkin (9)Hernández, Carlos (9)Huérfano, Yoleidy (9)... másMateriaSegmentation (7)Segmentación (6)Obesity (4)Tumor cerebral (4)Computational technique (3)Diabetes (3)Imágenes cerebrales por resonancia magnética (3)Magnetic resonance brain imaging (3)Obesidad (3)Risk factors (3)... másFecha2018 (19)2019 (5)2020 (3)2017 (2)Has File(s)Yes (22)No (7)

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