Nogales Cadenas, RubénCarmona Saez, PedroVázquez, MiguelVicente, CésarYang, XiaoyuanTirado Fernández, José FranciscoCarazo, José MaríaPascual Montano, Alberto2023-06-202023-06-202009-07-010305-104810.1093/nar/gkp416https://hdl.handle.net/20.500.14352/44898© 2009 The Author(s) Spanish grants BIO2007-67150-C03-02, S-Gen-0166/2006, CYTED-505PI0058, TIN2005-5619 and PS-0100002008-1 and European Union Grant FP7-HEALTHF42008-202047. Funding for open access charge: Spanish Grant BIO2007-67150-C03-02.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.engAtribución 3.0 Españahttps://creativecommons.org/licenses/by/3.0/es/journal articlehttp://dx.doi.org/10.1093/nar/gkp416http://nar.oxfordjournals.org/open access004ExpressionToolsDiscoverySystems.Informática (Informática)1203.17 Informática