Aproximación al uso de interfaz gráfica en la operatividad de agentes inteligentes con imágenes médicas
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Fecha
2019
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Sociedad Venezolana de Farmacología Clínica y Terapéutica
Resumen
En el presente artículo se da a conocer el estado del arte relativo al desarrollo de interfaz gráfica de usuario para la integración de técnicas de procesamiento de imágenes y operadores basados en máquinas inteligentes, orientada a la construcción de enfoques computacionales útiles en la rutina clínica y/o en la investigación relacionada con el diagnóstico de neoplasias malignas en el sistema gastrointestinal. Para ello, inicialmente se contextualiza a través de una fundamentación teórica la interfaz gráfica en el contexto de las imágenes médicas, lo cual sustenta las entradas principales de la matriz documental. La revisión documental de artículos científicos, libros, capítulos de libros, tesis de grado y posgrado referentes al objeto de estudio son sistematizados mediante la matriz documental como instrumento de recolección de información. De allí, y considerando un análisis de contenido, se exploraron sesenta y cuatro referencias bibliográficas
relacionadas con las entradas de la matriz documental. Los hallazgos develaron que en el contexto nacional y en el internacional ha ido creciendo el diseño de aplicativos para la integración de algoritmos matemático-computacionales con interfaz gráfica de usuario para el procesamiento y análisis de imágenes de tumores cancerígenos de estómago. No obstante, no se ha alcanzado aún una solución computacional
óptima.
In this paper, we present the state of the art related to the development of graphic user interface for the integration of image processing techniques and operators based on machine learning, in this case, oriented to the construction of computational approaches useful in the clinical routine and/or in research related to the diagnosis of malignant neoplasms in the gastrointestinal system. In this sense, the graphical interface in the context of medical images is initially contextualized through a theoretical foundation, which supports the main entries of the documentary matrix. The documentary review of scientific papers, books, book chapters, undergraduate and postgraduate theses related to the object of study are systematized through the documentary matrix as an instrument for gathering information. From there, and considering a content analysis, sixty-four bibliographical references related to the entries of the documentary matrix are explored. The findings revealed an increase in the design of applications for the integration of mathematical-computational algorithms with graphical user interface for the processing and analysis of images of cancerous tumors of the stomach has grown. This increase has been both in the national and international context. However, an optimal computational solution has not yet been reached.
In this paper, we present the state of the art related to the development of graphic user interface for the integration of image processing techniques and operators based on machine learning, in this case, oriented to the construction of computational approaches useful in the clinical routine and/or in research related to the diagnosis of malignant neoplasms in the gastrointestinal system. In this sense, the graphical interface in the context of medical images is initially contextualized through a theoretical foundation, which supports the main entries of the documentary matrix. The documentary review of scientific papers, books, book chapters, undergraduate and postgraduate theses related to the object of study are systematized through the documentary matrix as an instrument for gathering information. From there, and considering a content analysis, sixty-four bibliographical references related to the entries of the documentary matrix are explored. The findings revealed an increase in the design of applications for the integration of mathematical-computational algorithms with graphical user interface for the processing and analysis of images of cancerous tumors of the stomach has grown. This increase has been both in the national and international context. However, an optimal computational solution has not yet been reached.
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Palabras clave
Interfaz gráfica de usuario, Software libre, Procesamiento de imágenes médicas, Agentes inteligentes, Tomografía computarizada, Cáncer gástrico, Graphical user interface, Free software, Medical images processing, Intelligence agents, Computerized Tomography, Gastric cancer
