%0 Journal Article
%A Vázquez, Miguel
%A Carmona Saez, Pedro
%A Nogales Cadenas, Ruben
%A Chagoyen, Mónica
%A Tirado Fernández, Francisco
%A María Carazo, José
%A Pascual Montano, Alberto
%T SENT: semantic features in text
%D 2009
%@ 0305-1048
%U https://hdl.handle.net/20.500.14352/44899
%X 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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