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Texture descriptors applied to digital mammography
dc.contributor.author | Mata Miquel, Cristian |
dc.contributor.author | Freixenet Bosch, Jordi |
dc.contributor.author | Lladó Bardera, Xavier |
dc.contributor.author | Oliver Malagelada, Arnau |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Química |
dc.date.accessioned | 2017-03-21T10:23:35Z |
dc.date.available | 2017-03-21T10:23:35Z |
dc.date.issued | 2008 |
dc.identifier.citation | Mata, C., Freixenet, J., Lladó, X., O. A. Texture descriptors applied to digital mammography. A: Erasmus-Mundus Master in Computer Vision and Robotics. "VIBOT VIVA 2008". Edinburgh: 2008, p. 105-110. |
dc.identifier.uri | http://hdl.handle.net/2117/102716 |
dc.description.abstract | Breast cancer is the second cause of death among women cancers. Computer Aided Detection has been demon- strated an useful tool for early diagnosis, a crucial as- pect for a high survival rate. In this context, several re- search works have incorporated texture features in mam- mographic image segmentation and description such as Gray-Level co-occurrence matrices, Local Binary Pat- terns, and many others. This paper presents an approach for breast density classi¯cation based on segmentation and texture feature extraction techniques in order to clas- sify digital mammograms according to their internal tis- sue. The aim of this work is to compare di®erent texture descriptors on the same framework (same algorithms for segmentation and classi¯cation, as well as same images). Extensive results prove the feasibility of the proposed ap- proach. |
dc.format.extent | 6 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria química |
dc.subject.lcsh | Breast--Radiography |
dc.subject.lcsh | Breast--Cancer |
dc.title | Texture descriptors applied to digital mammography |
dc.type | Conference report |
dc.subject.lemac | Diagnòstic per la imatge |
dc.subject.lemac | Mama -- Radiografia |
dc.subject.lemac | Mama -- Càncer |
dc.rights.access | Open Access |
local.identifier.drac | 19768021 |
dc.description.version | Postprint (published version) |
local.citation.author | Mata, C.; Freixenet, J.; Lladó, X.; A., Oliver |
local.citation.contributor | Erasmus-Mundus Master in Computer Vision and Robotics |
local.citation.pubplace | Edinburgh |
local.citation.publicationName | VIBOT VIVA 2008 |
local.citation.startingPage | 105 |
local.citation.endingPage | 110 |