MammoSVD: A content-based image retrieval system using a reference database of mammographies

In this paper, we present a content-based image retrieval (CBIR) system called MammoSVD. This CBIR system is developed based on breast density - fatty or dense, and the database used, from the IRMA project, provides images with the ground truth already set. Singular value decomposition (SVD) is prop...

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Bibliographic Details
Published in2009 22nd IEEE International Symposium on Computer-Based Medical Systems pp. 1 - 4
Main Authors de Oliveira, J., Lopes, A., Camara-Chavez, G., de A. Araujo, A., Deserno, T.M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2009
Subjects
Biomedical imaging
Breast
Content based retrieval
Image databases
Image retrieval
Information retrieval
Mammography
Medical diagnostic imaging
Spatial databases
Support vector machines
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Summary:In this paper, we present a content-based image retrieval (CBIR) system called MammoSVD. This CBIR system is developed based on breast density - fatty or dense, and the database used, from the IRMA project, provides images with the ground truth already set. Singular value decomposition (SVD) is proposed for the breast density characterization by the selection of the first singular values, in order to represent texture along with the dimensionality reduction. Support-vector machine (SVM) is used to perform the retrieval operation. Considering the first 10% of the retrieved images, the precision rate is 90%, indicating the potential of the implemented CBIR system.
ISBN:1424448794
9781424448791
ISSN:1063-7125
DOI:10.1109/CBMS.2009.5255323