bioNMF: a versatile tool for non-negative matrix factorization in biology


Autoria(s): Pascual Montano, Alberto; Carmona Saez, Pedro; Chagoyen, Mónica; Tirado Fernández, Francisco; Carazo, José M.; Pascual Marqui, Roberto. D.
Data(s)

28/07/2006

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.ucm.es/36321/1/tirado37libre%2BCC.pdf

Idioma(s)

en

Publicador

Biomed Central LTD

Relação

http://eprints.ucm.es/36321/

http://dx.doi.org/10.1186/1471-2105-7-366

10.1186/1471-2105-7-366

BFU2004- 00217/BMC

GEN2003-20235-c05-05

CYTED-505PI0058

TIN2005-5619

PR27/05-13964-BSCH

Direitos

cc_by

info:eu-repo/semantics/openAccess

Palavras-Chave #Informática
Tipo

info:eu-repo/semantics/article

PeerReviewed