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Título:
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SENT: semantic features in text
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Autores:
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Vázquez, Miguel ;
Carmona Saez, Pedro ;
Nogales Cadenas, Rubén ;
Chagoyen, Mónica ;
Tirado Fernández, Francisco ;
María Carazo, José ;
Pascual Montano, Alberto
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Tipo de documento:
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texto impreso
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Editorial:
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Oxford University Press, 2009-07
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Dimensiones:
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application/pdf
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Nota general:
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cc_by_nc
info:eu-repo/semantics/openAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias: Informática
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Tipo = Artículo
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Resumen:
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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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En línea:
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https://eprints.ucm.es/id/eprint/35641/1/tirado18libre%2BCC.pdf
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