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Saliency-based characterization of group differences for magnetic resonance disease classification

RUEDA, ANDREA and GONZÁLEZ, FABIO and ROMERO, EDUARDO (2013) Saliency-based characterization of group differences for magnetic resonance disease classification. Dyna; Vol. 80, núm. 178 (2013); 21-28 DYNA; Vol. 80, núm. 178 (2013); 21-28 2346-2183 0012-7353 .

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URL oficial: http://revistas.unal.edu.co/index.php/dyna/article...

Resumen

Anatomical variability of patient's brains limits the statistical analyses about presence or absence of a pathology. In this paper, we present an approach for classification of brain Magnetic Resonance (MR) images from healthy and diseased subjects. The approach builds up a saliency map, which extract regions of relative change in three different dimensions: intensity, orientation and edges. The obtained regions of interest are used as suitable patterns for subject classification using support vector machines. The strategy’s performance was assessed on a set of 198 MR images extracted from the OASIS database and divided into four groups, reporting an average accuracy rate of 74.54% and an average Equal Error Rate of 0.725.

Tipo de documento:Artículo - Article
Información adicional:Derechos de autor reservados
Palabras clave:Subject classification, Magnetic Resonance Imaging, Visual Attention models, Saliency maps
Unidad administrativa:Revistas electrónicas UN > Dyna
Código ID:29590
Enviado por : Dirección Nacional de Bibliotecas STECNICO
Enviado el día :30 Junio 2014 05:47
Ultima modificación:18 Agosto 2014 18:43
Ultima modificación:18 Agosto 2014 18:43
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