2026-06-26T19:49:18Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/456332024-08-30T17:42:09Zcom_20.500.14352_14col_20.500.14352_21

Bonacic, Carolina García, Carlos Marín, Mauricio Prieto Matías, Manuel Tirado Fernández, José Francisco 2023-06-20T05:47:52Z 2023-06-20T05:47:52Z 2011 978-3-642-19327-9 https://hdl.handle.net/20.500.14352/45633 http://dx.doi.org/10.1007/978-3-642-19328-6_22 http://www.researchgate.net/publication/221392019_On-Line_Multi-Threaded_Processing_of_Web_User-Clicks_on_Multi-Core_Processors/file/60b7d5261a382718c1.pdf http://download.springer.com/ 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. eng open access On-line multi-threaded processing of web user-clicks on multi-core processors. book part