RT Journal Article
T1 Implementation of a low-cost mobile devices to support medical diagnosis
A1 García Sánchez, Carlos
A1 Botella Juan, Guillermo
A1 Ayuso Márquez, Fermín
A1 González Rodríguez, Diego
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 Hindawi Publishing Corporation
SN 1748-670X
YR 2013
FD 2013
LK https://hdl.handle.net/20.500.14352/34960
UL https://hdl.handle.net/20.500.14352/34960
LA eng
NO The authors would like to thank Dr. Thomas Schlossbauer from the Department of Clinical Radiology, University of Munich, Munich, Germany, for providing the breast MRI images used for this study. This work was partially supported by Projects MICINN TIN2008-0508 and TIN 2012-32180 (Spain).
NO MICINN (Spain)
DS Docta Complutense
RD 10 abr 2025