Igual Peña, Francisco DanielBotella Juan, GuillermoGarcía Sánchez, CarlosPrieto Matías, ManuelTirado Fernández, José Francisco2023-06-192023-06-1920131687-618010.1186/1687-6180-2013-99https://hdl.handle.net/20.500.14352/35020© Springer International Publishing AG. This work has been supported by Spanish Projects CICYT-TIN 2008/508 and TIN2012-32180.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/10.1186/1687-6180-2013-99http://www.asp.eurasipjournals.com/open access004Optical-flowFrameworkInformática (Informática)1203.17 Informática