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Content-based image retrieval applied to BI-RADS tissue classification in screening mammography
Author(s) -
Júlia Epischina Engrácia de Oliveira,
Arnaldo de Albuquerque Araújo,
Thomas M. Deserno
Publication year - 2011
Publication title -
world journal of radiology
Language(s) - English
Resource type - Journals
ISSN - 1949-8470
DOI - 10.4329/wjr.v3.i1.24
Subject(s) - singular value decomposition , support vector machine , pattern recognition (psychology) , artificial intelligence , kernel (algebra) , computer science , mammography , content based image retrieval , histogram , segmentation , image retrieval , medicine , image (mathematics) , mathematics , breast cancer , cancer , combinatorics
To present a content-based image retrieval (CBIR) system that supports the classification of breast tissue density and can be used in the processing chain to adapt parameters for lesion segmentation and classification.

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