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SENT: semantic features in text

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Vázquez, Miguel and Carmona Saez, Pedro and Nogales Cadenas, Ruben and Chagoyen, Mónica and Tirado Fernández, Francisco and María Carazo, José and Pascual Montano, Alberto (2009) SENT: semantic features in text. Nucleic acids research, 37 . W153-W159. ISSN 0305-1048

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Official URL: http://dx.doi.org/10.1093/nar/gkp392


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http://nar.oxfordjournals.org/Publisher


Abstract

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.


Item Type:Article
Additional Information:

© 2009 The Author(s).
Spanish grants [BIO2007-67150-C03-02, S-Gen-0166/2006, TIN2005-5619, PS-010000-2008-1]; European Union Grant [FP7-HEALTH-F4-2008-202047]. Funding for open access charge: Spanish Grant number BIO2007-67150-C03-02.

Uncontrolled Keywords:Nonnegative matrix factorization; Biomedical literature; Microarray data; Gene lists; Initialization; Network; Tool.
Subjects:Sciences > Computer science
ID Code:35641
Deposited On:08 Mar 2016 17:43
Last Modified:09 Mar 2016 11:55

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