Bonacic, CarolinaGarcía, CarlosMarín, MauricioPrieto Matías, ManuelTirado Fernández, José Francisco2023-06-202023-06-202011978-3-642-19327-9https://hdl.handle.net/20.500.14352/45633© Springer-Verlag Berlin Heidelberg 2011. ISSN: 0302-9743 International Conference on High Performance Computing for Computational Science. (9. 2010. Berkeley, California. EEUU)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.engbook parthttp://dx.doi.org/10.1007/978-3-642-19328-6_22http://www.researchgate.net/publication/221392019_On-Line_Multi-Threaded_Processing_of_Web_User-Clicks_on_Multi-Core_Processors/file/60b7d5261a382718c1.pdfhttp://download.springer.com/open access004Informática (Informática)1203.17 Informática