Pascual Montano, AlbertoCarmona Saez, PedroChagoyen, MónicaTirado Fernández, José FranciscoCarazo, José M.Pascual Marqui, Roberto. D.2023-06-202023-06-202006-07-281471-210510.1186/1471-2105-7-366https://hdl.handle.net/20.500.14352/51816© 2006 Pascual-Montano et a. This work has been partially funded by the Spanish grants CICYT BFU2004-00217/BMC, GEN2003-20235-c05-05, CYTED-505PI0058, TIN2005-5619, PR27/05-13964-BSCH and a collaborative grant between the Spanish CSIC and the Canadian NRC (CSIC-050402040003). PCS is recipient of a grant from CAM. APM acknowledges the support of the Spanish Ramón y Cajal program.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/10.1186/1471-2105-7-366http://bmcbioinformatics.biomedcentral.com/open access004Gene expression dataIndependent component analysisMicroarray dataClass discoveryProfilesIdentificationAlgorithmsFeaturesCancerInformática (Informática)1203.17 Informática