Browsing by Author "Morales, Alex"

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    Artificial intelligence model for the prediction of malignant tumors using a set of medical images from mammography studies
    (2021) Morales, Alex; Sanchez, Sergio
    Currently, the diagnosis of tumors and malignant cells through imaging studies is a great challenge for expert medical personnel, due to the complexity of achieving an early prediction of cancer cells, which would allow to accelerate early medical treatments. Today, technologies have become a fundamental ally for the health sector, specifically the area of artificial intelligence, which has permeated many disciplines, generating important advances. Advances in parallel computing, GPU technology, and deep learning have made real-time image processing easier. The main objective of this esearch was to generate a deep learning model for the prediction of malignant cells in medical images of diagnosed mammograms. Using the previously trained model based on Faster R-CNN, with the ResNet function extractor. This model works in the Python programming language, using the Tensorflow framework and the OpenCv library. The algorithms were previously trained through the DDSM and MIAS open medical image databases, published on the web. This model not only focuses on recognizing and classifying malignant cells in the image, but also on the location of objects within it, appropriately drawing a bounding box. One of the latent challenges of these models since their inception has been the consumption of computing, but today they have been optimized so much that they allow freezing the pretrained models by loading them in the memory of the devices, managing to use them in computers without GPUs. As a result, it was found that the Faster R-CNN method with the Resnet101 extractor offers great advantages of precision and speed when it comes to detecting malignant tumors, studies that can serve as a great contribution to the bets of this algorithm in the health sector.
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    Design of a telemedicine system for the provision of primary health care (PHC) services
    (2021) Morales, Alex; Sanchez, Sergio
    Currently, technological progress has allowed health-related issues to be worked on collaboratively, expanding their learning, managing to provide health services in remote places, guaranteeing one of the fundamental rights of every human being, among these technological advances are Telemedicine stands out, which has been playing a leading role especially in these times of pandemic. For this reason, the objective of this research is to design an information system that integrates multiple technologies to support the provision of primary health care services. The research is descriptive and technological development in scope. As a final result, block diagrams and flow diagrams were obtained to represent the set of technologies to be used and the information data flow of the proposed system. It is concluded that the proposed system would facilitate the provision of health services in areas with or without internet connectivity, as well as support decision-making by executives of health organizations, in addition, telemedicine is a new technological trend for what projects like this allow Colombia to be at the forefront in health and technology issues.
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    Use of augmented reality for the simulation of basic mechanical physics phenomena
    (2019) Morales, Alex
    The augmented reality (AR), has been cataloged like the technology that will have greater penetration in the education sector in the second decade of the XXI century. According to the report horizon 2016, the first research of AR in education point out a positive impact, in collaborative learning and autonomous learning; because it allows potentiating reality with virtual information that can be supported in curricular contents. The present article exposes the development of a prototype with AR technology that simulates the uniform rectilinear movement and free fall of the subject of mechanical physics. The research is of technological development type. Included in three phases: Initially the functional and non-functional requirements were determined, then the architecture was designed using UML diagrams and finally the prototype was developed. As a result, we obtained a mobile prototype with AR with two functions, the first one allows to simulate the movement of a vehicle at a constant speed, the second allows to simulate the fall of objects that are being attracted by gravity. A technical feasibility study was carried out in which the prototype was installed in different mobile devices, without errors. It is concluded that AR has several characteristics that can be applied to educational environments to increase students' motivation and make them live experiences that are limited access in classrooms.