Person:
Prieto Matías, Manuel

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First Name
Manuel
Last Name
Prieto Matías
URI
https://hdl.handle.net/20.500.14352/78600
Affiliation
Universidad Complutense de Madrid
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Department
Arquitectura de Computadores y Automática
Area
Arquitectura y Tecnología de Computadores
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Author: Ayuso Márquez, Fermín × Subject: 004 ×

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Now showing 1 - 2 of 2
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    Multi-GPU based on multicriteria optimization for motion estimation system.
    (Eurasip journal on advances in signal processing, 2013) García Sánchez, Carlos; Botella Juan, Guillermo; Ayuso Márquez, Fermín; Prieto Matías, Manuel; Tirado Fernández, José Francisco
    Medical imaging has become an absolutely essential diagnostic tool for clinical practices; at present, pathologies can be detected with an earliness never before known. Its use has not only been relegated to the field of radiology but also, increasingly, to computer-based imaging processes prior to surgery. Motion analysis, in particular, plays an important role in analyzing activities or behaviors of live objects in medicine. This short paper presents several low-cost hardware implementation approaches for the new generation of tablets and/or smartphones for estimating motion compensation and segmentation in medical images. These systems have been optimized for breast cancer diagnosis using magnetic resonance imaging technology with several advantages over traditional X-ray mammography, for example, obtaining patient information during a short period. This paper also addresses the challenge of offering a medical tool that runs on widespread portable devices, both on tablets and/or smartphones to aid in patient diagnostics.
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    Implementation of a low-cost mobile devices to support medical diagnosis
    (Computational and Mathematical Methods in Medicine, 2013) García Sánchez, Carlos; Botella Juan, Guillermo; Ayuso Márquez, Fermín; González Rodríguez, Diego; Prieto Matías, Manuel; Tirado Fernández, José Francisco
    Medical imaging has become an absolutely essential diagnostic tool for clinical practices; at present, pathologies can be detected with an earliness never before known. Its use has not only been relegated to the field of radiology but also, increasingly, to computer-based imaging processes prior to surgery. Motion analysis, in particular, plays an important role in analyzing activities or behaviors of live objects in medicine. This short paper presents several low-cost hardware implementation approaches for the new generation of tablets and/or smartphones for estimating motion compensation and segmentation in medical images. These systems have been optimized for breast cancer diagnosis using magnetic resonance imaging technology with several advantages over traditional X-ray mammography, for example, obtaining patient information during a short period. This paper also addresses the challenge of offering a medical tool that runs on widespread portable devices, both on tablets and/or smartphones to aid in patient diagnostics.