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

Author

De Oliveira, Julia E E ; Lopes, Ana Paula B ; Cámara-Chavez, Guillermo ; de A.Araujo, A. ; Deserno, Thomas M.

Author_Institution

Dept. of Comput. Sci., Fed. Univ. of Minas Gerais, Belo Horizonte, Brazil

fYear

2009

fDate

2-5 Aug. 2009

Firstpage

1

Lastpage

4

Abstract

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.

Keywords

biological organs; cancer; diagnostic radiography; image retrieval; mammography; medical image processing; singular value decomposition; support vector machines; tumours; CBIR system; MammoSVD; breast cancer; content-based image retrieval; image texture; mammography; singular value decomposition; support-vector machine; Biomedical imaging; Breast; Content based retrieval; Image databases; Image retrieval; Information retrieval; Mammography; Medical diagnostic imaging; Spatial databases; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems, 2009. CBMS 2009. 22nd IEEE International Symposium on

Conference_Location

Albuquerque, NM

ISSN

1063-7125

Print_ISBN

978-1-4244-4879-1

Electronic_ISBN

1063-7125

Type

conf

DOI

10.1109/CBMS.2009.5255323

Filename

5255323