Ponencias - Centro de Estudios de Mecánica Computacional y Métodos Numéricos en la Ingeniería (CIMNE).

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En esta colección están depositados las Ponencias presentadas por personal afiliado al entro de Mecánica Computacional y Métodos Numéricos en la Ingeniería (CIMNE) en Congresos Científicos.


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Mostrando 1 - 5 de 5
  • ÍtemAcceso Abierto
    Economic burden of premature mortality from systemic lupus erythematosus in Cuba
    (2021-04-10) Angel Rodríguez, Naliet; Hernandez Negrin, Halbert
    Mortality statistics are traditionally used to quantify the burden of disease and to determine the relative importance of the various causes of death. One of the most frequently used indicators to quantify the economic burden of disease is the years of potential productive life lost (YPPLL). Although it has been demonstrated that mortality due to systemic lupus erythematosus (SLE) is increasing in Latin America,2 there is limited research assessing its socioeconomic burden in Cuba. Our aim was to estimate the years of potential productive life lost (YPPLL) due to premature mortality from SLE in Cuba, between 2001-2018.
  • ÍtemAcceso Abierto
    Racial disparities in renal disease-related mortality in Cuban patients with systemic lupus erythematosus
    (2021-04-12) Angel Rodríguez, Naliet; Hernandez Negrin, Halbert
    By and large, systemic lupus erythematosus (SLE) is more prevalent and with less favorable outcomes in non-white populations. To overcome these differences and reduce the short-, medium-, and long-term impact of SLE in disadvantaged populations, it is essential to increase awareness of the disease, improve access to health care, and provide care to these patients in a consistent manner, regardless of the severity of their disease. In this context, premature mortality related to renal involvement in SLE patients is of particular concern. Despite these facts, little research has been conducted in Cuba aimed at understanding the unequal impact of renal disease on mortality in white and non-white SLE patients. Our aim was to identify racial disparities in renal disease -related mortality in Cuban patients who died from SLE.
  • ÍtemAcceso Abierto
    A Model Describing the Rhetorical Structure of the Abstracts of Cardiology Research Articles in English
    (2021-11-25) Angel Rodríguez, Naliet; Bernal Díaz, Pedro Santiago; Rodriguez Ruiz, Mayra; Universidad Central "Marta Abreu"de las Villas. Facultad de Construcciones. CIMNE.; Universidad Central "Marta Abreu"de las Villas. Centro de Idiomas; Universidad Central "Marta Abreu"de las Villas. Facultad de humanidades. Departamento de Lengua Inglesa
    The Abstract section of the research article (RA) is particularly important because it offers different communicative functions. In the medical field, English has also gained the status of Lingua Franca since most of the medical journals are published in English and principal contributions in medicine and science are published in this language as well. Therefore, it is essential for scientists in the field of medicine to communicate the results of their research in English in order to gain international recognition.
  • ÍtemAcceso Abierto
    Computer-Aided Detection Systems for Digital Mammography
    (2019-10-02) Perez Diaz, Marlen; Orozco Morales, Rubén; Suarez Aday, Ernesto Daniel; Pirchio, Rosario; Universidad Central "Marta Abreu" de Las Villas. Dpto de Automática; Medical Physics Department, Atomic Energy National Commission, Buenos Aires, Argentina
    Mammography is the typical diagnostic test for early detection of breast cancer. The presence of microcalcifications and masses in the images may be an indicator of the disease. The microcalcifications size is very small, so, in many cases, they are not visible from medical images by radiologists. On the other hand, masses can be also undetectable if image contrast is not good enough. The computer-aided detection (CAD) systems are useful tools in facilitating the physician´s diagnosis. The CAD system proposed in this work is aimed at improving image quality based on image processing. On these improved images, it segments the mammary gland and highlights the presence of microcalcifications and masses. The system improves image contrast by means of convolution filters, it also eliminates artifacts by means of morphological opening and closing and Laplacian filtering, and uses entropy-based methods for segmentation of the gland and morphological filtering and histogram readjustment to enhance microcalcifications in the image. Masses are detected using an iterative contrast increase method. The system was tested with an annotated database (DB) MIAS, in oblique lateral views of glandular, glandular-dense and predominantly adipose breasts, which included images of malignant and benign lesions and other breast images without them. The system was evaluated with respect to the DB annotation, for a sample of 115 images. The performance of the system revealed a sensitivity of 93.2%, a specificity of 85.3%, a precision of 90.4% and an accuracy of 92%.
  • ÍtemAcceso Abierto
    Metal artifact reduction by morphological image filtering for computed tomography
    (2018-06-01) Rodriguez-Gallo Guerra, Yakdiel; Perez Diaz, Marlen; Orozco Morales, Rubén; Universidad Central "Marta Abreu" de Las Villas. Dpto de Automática
    When metal implants are present in the field of measurement, artifacts degrade image quality. Metal artifact reduction (MAR) methods produce images with improved quality leading to confident and reliable clinical diagnosis. Cur-rently, there are many methods developed, but no generally accepted solution to this issue has been found. In this work we propose a morphological image filter-ing approach for metal artifact reduction (MIFMAR) algorithm for image quality improvement. MIFMAR performance was compared with three well-known MAR methods, which are linear interpolation (LI), normalized metal artifact reduction (NMAR) and frequency split metal artifact reduction (FSMAR), using clinical studies. The methods were applied to images acquired from 30 clinical studies of patients with metallic implants. Image quality was evaluated by three experienced radiologists completely blinded to the information about if the image was processed or not to suppress the artifacts. They graded image quality in a five points-scale, where zero is an index of clear artifact presence, and five, a whole artifact suppression. Image quality on images were compared using the non-parametric Friedman-ANOVA test. Inter-observer agreement was evaluated using linear-weighted κ test. MIFMAR ensures efficient reduction of metal artifacts with high image quality, preserving all of tissues and details in CT images. Image quality and diagnostic scores improved significantly (p < 0.01) with good inter-observer agreement. MIFMAR is computationally inexpensive compared with other methods and does not use raw CT data.
Las Ponencias depositadas en esta colección son Propiedad Patrimonial de la Universidad Central "Marta Abreu" de Las Villas, o la misma ha obtenido las autorizaciones requeridas para ejecutar el depósito de estos materiales en el Repositorio Digital.