Vázquez, MiguelCarmona Saez, PedroNogales Cadenas, RubenChagoyen, MónicaTirado Fernández, José FranciscoCarazo, José MaríaPascual Montano, Alberto2023-06-202023-06-202009-070305-104810.1093/nar/gkp392https://hdl.handle.net/20.500.14352/44899© 2009 The Author(s). Spanish grants [BIO2007-67150-C03-02, S-Gen-0166/2006, TIN2005-5619, PS-010000-2008-1]; European Union Grant [FP7-HEALTH-F4-2008-202047]. Funding for open access charge: Spanish Grant number 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-NoComercial 3.0 Españahttps://creativecommons.org/licenses/by-nc/3.0/es/journal articlehttp://dx.doi.org/10.1093/nar/gkp392http://nar.oxfordjournals.org/open access004Nonnegative matrix factorizationBiomedical literatureMicroarray dataGene listsInitializationNetworkTool.Informática (Informática)1203.17 Informática