Universidad Complutense de Madrid
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Multi-GPU based on multicriteria optimization for motion estimation system.

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García Sanchez, Carlos y Botella Juan, Guillermo y Ayuso Márquez, Fermín y Prieto Matías, Manuel y Tirado Fernández, Francisco (2013) Multi-GPU based on multicriteria optimization for motion estimation system. Eurasip journal on advances in signal processing . ISSN 1687-6180

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URL Oficial: http://dx.doi.org/10.1186/1687-6180-2013-23




Resumen

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.


Tipo de documento:Artículo
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© Springer International Publishing AG
The present study had been supported by Spanish Projects CICYT-TIN 2008/508, CICYT-TIN 2012-32180 and Ingenio Consolider ESP00C-07-20811.

Palabras clave:Architecture; Algorithm.
Materias:Ciencias > Informática
Código ID:35021
Depositado:20 Ene 2016 16:42
Última Modificación:20 Ene 2016 16:42

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