Publication: SENT: semantic features in text
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2009-07
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Oxford University Press
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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.
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© 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.
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