Content-based image retrieval applied to BI-RADS tissue classification in screening mammography | Zendy

Júlia Epischina Engrácia de Oliveira | Zendy; Arnaldo de Albuquerque Araújo | Zendy; Thomas M. Deserno | Zendy

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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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