2026-06-28T04:47:25Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/448972024-08-30T17:39:53Zcom_20.500.14352_14col_20.500.14352_15

00925njm 22002777a 4500 dc Vázquez, Miguel author Nogales Cadenas, Rubén author Arroyo, Javier author Botias, Pedro author García, Raúl author Tirado Fernández, José Francisco author Carazo, José M. author Pascual Montano, Alberto author Carmona Saez, Pedro author 2010-07 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. 0305-1048 10.1093/nar/gkq476 https://hdl.handle.net/20.500.14352/44897 http://dx.doi.org/10.1093/nar/gkq476 http://nar.oxfordjournals.org/ MARQ: an online tool to mine GEO for experiments with similar or opposite gene expression signatures