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Approaching the use of graphical interface in the operation of intelligent agents with medical images

Abstract:

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.