A new approach to the classification of mammographic masses and normal breast tissue

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dc.contributor.author Oliver i Malagelada, Arnau
dc.contributor.author Martí Bonmatí, Joan
dc.contributor.author Martí Marly, Robert
dc.contributor.author Bosch Rué, Anna
dc.contributor.author Freixenet i Bosch, Jordi
dc.date.issued 2006
dc.identifier.citation Oliver, A., Martí, J., Martí, R., Bosch Rué, A., i Freixenet, J. (2006). A new approach to the classification of mammographic masses and normal breast tissue. 18th International Conference on Pattern Recognition : 2006 : ICPR 2006, 4, 707-710. Recuperat 21 maig 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1699939
dc.identifier.isbn 0-7695-2521-0
dc.identifier.issn 1051-4651
dc.identifier.uri http://hdl.handle.net/10256/2386
dc.description.abstract A new approach to mammographic mass detection is presented in this paper. Although different algorithms have been proposed for such a task, most of them are application dependent. In contrast, our approach makes use of a kindred topic in computer vision adapted to our particular problem. In this sense, we translate the eigenfaces approach for face detection/classification problems to a mass detection. Two different databases were used to show the robustness of the approach. The first one consisted on a set of 160 regions of interest (RoIs) extracted from the MIAS database, being 40 of them with confirmed masses and the rest normal tissue. The second set of RoIs was extracted from the DDSM database, and contained 196 RoIs containing masses and 392 with normal, but suspicious regions. Initial results demonstrate the feasibility of using such approach with performances comparable to other algorithms, with the advantage of being a more general, simple and cost-effective approach
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher IEEE
dc.relation.isformatof Reproducció digital del document publicat a: http://dx.doi.org/10.1109/ICPR.2006.113
dc.relation.ispartof © 18th International Conference on Pattern Recognition : 2006 : ICPR 2006, 2006, vol. 4, p. 707-710
dc.relation.ispartofseries Articles publicats (D-ATC)
dc.rights Tots els drets reservats
dc.subject Diagnòstic per la imatge
dc.subject Imatges mèdiques -- Processament -- Tècniques digitals
dc.subject Mama -- Radiografia
dc.subject Radiografia mèdica -- Tècniques digitals
dc.subject Breast -- Radiography
dc.subject Diagnostic imaging
dc.subject Imaging systems in medicine -- Digital techniques
dc.subject Radiography, Medical -- Digital techniques
dc.title A new approach to the classification of mammographic masses and normal breast tissue
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1109/ICPR.2006.113

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