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 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.

• Type: Conference
• Year: 2009
• Where: CBMS
• Authors: Júlia E. E. de Oliveira, Ana Paula Brandão Lopes, Guillermo Camara Chavez, Arnaldo de Albuquerque Araújo, Thomas Martin Deserno
• Keywords: Breast Density, CBMS 2009, Content-based Image Retrieval, Medical Imaging, Singular Values