RT Book, Section
T1 On-line multi-threaded processing of web user-clicks on multi-core processors.
A1 Bonacic, Carolina
A1 García, Carlos
A1 Marín, Mauricio
A1 Prieto Matías, Manuel
A1 Tirado Fernández, José Francisco
AB 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.
PB Springer
SN 978-3-642-19327-9
YR 2011
FD 2011
LK https://hdl.handle.net/20.500.14352/45633
UL https://hdl.handle.net/20.500.14352/45633
LA eng
NO © Springer-Verlag Berlin Heidelberg 2011.ISSN: 0302-9743International Conference on High Performance Computing for Computational Science. (9. 2010. Berkeley, California. EEUU)
DS Docta Complutense
RD 7 abr 2025