Vázquez, MiguelNogales Cadenas, RubénArroyo, JavierBotias, PedroGarcía, RaúlTirado Fernández, José FranciscoCarazo, José M.Pascual Montano, AlbertoCarmona Saez, Pedro2023-06-202023-06-202010-070305-104810.1093/nar/gkq476https://hdl.handle.net/20.500.14352/44897© The Author(s) 2010. Published by Oxford University Press. Spanish grants (BIO2007-67150-C03-02, S-Gen-0166/2006, TIN2005-5619, and PS-010000-2008-1). Funding for open access charge: European Union (project FP7-HEALTH-F4-2008-202047); Ministerio de Ciencia e Innovacion (projects BIO2007-67150-C03-02, PS-010000-2008-1); Comunidad de Madrid (S-Gen-0166/2006).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/gkq476http://nar.oxfordjournals.org/open access004Cell wall stressProfilesPathwaysDiscoveryPowerfulInformática (Informática)1203.17 Informática