caa a22 4500 463178882 CHVBK 20180406164833.0 cr unu---uuuuu 170326e20070601xx s 000 0 eng 10.1007/s10278-007-9004-0 doi (NATIONALLICENCE)springer-10.1007/s10278-007-9004-0 Content-based Retrieval of Mammograms Using Visual Features Related to Breast Density Patterns [Elektronische Daten] [Sérgio Kinoshita, Paulo de Azevedo-Marques, Roberto Pereira Jr, Jośe Rodrigues, Rangaraj Rangayyan] This paper describes part of content-based image retrieval (CBIR) system that has been developed for mammograms. Details are presented of methods implemented to derive measures of similarity based upon structural characteristics and distributions of density of the fibroglandular tissue, as well as the anatomical size and shape of the breast region as seen on the mammogram. Well-known features related to shape, size, and texture (statistics of the gray-level histogram, Haralick's texture features, and moment-based features) were applied, as well as less-explored features based in the Radon domain and granulometric measures. The Kohonen self-organizing map (SOM) neural network was used to perform the retrieval operation. Performance evaluation was done using precision and recall curves obtained from comparison between the query and retrieved images. The proposed methodology was tested with 1,080 mammograms, including craniocaudal and mediolateral-oblique views. Precision rates obtained are in the range from 79% to 83% considering the total image set. Considering the first 50% of the retrieved mages, the precision rates are in the range from 78% to 83%; the rates are in the range from 79% to 86% considering the first 25% of the retrieved images. Results obtained indicate the potential of the implemented methodology to serve as a part of a CBIR system for mammography. Society for Imaging Informatics in Medicine, 2007 Mammography nationallicence contend-based image retrieval nationallicence Kohonen self-organizing map nationallicence texture features nationallicence granulometric measures nationallicence radon transform domain nationallicence breast density nationallicence Kinoshita Sérgio Image Science and Medical Physics Center, Internal Medicine Department, Faculty of Medicine of Ribeirao Preto, University of Sao Paulo, avenida dos Bandeirantes, 3900, 14048-900, Ribeirão Preto, São Paulo, Brazil aut de Azevedo-Marques Paulo Image Science and Medical Physics Center, Internal Medicine Department, Faculty of Medicine of Ribeirao Preto, University of Sao Paulo, avenida dos Bandeirantes, 3900, 14048-900, Ribeirão Preto, São Paulo, Brazil aut Pereira Jr Roberto Image Science and Medical Physics Center, Internal Medicine Department, Faculty of Medicine of Ribeirao Preto, University of Sao Paulo, avenida dos Bandeirantes, 3900, 14048-900, Ribeirão Preto, São Paulo, Brazil aut Rodrigues Jośe Image Science and Medical Physics Center, Internal Medicine Department, Faculty of Medicine of Ribeirao Preto, University of Sao Paulo, avenida dos Bandeirantes, 3900, 14048-900, Ribeirão Preto, São Paulo, Brazil aut Rangayyan Rangaraj Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, T2N 1N4, Calgary, Alberta, Canada aut Journal of Digital Imaging Springer-Verlag 20/2(2007-06-01), 172-190 0897-1889 20:2<172 2007 20 10278 https://doi.org/10.1007/s10278-007-9004-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10278-007-9004-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Kinoshita Sérgio Image Science and Medical Physics Center, Internal Medicine Department, Faculty of Medicine of Ribeirao Preto, University of Sao Paulo, avenida dos Bandeirantes, 3900, 14048-900, Ribeirão Preto, São Paulo, Brazil aut NATIONALLICENCE 700 1- de Azevedo-Marques Paulo Image Science and Medical Physics Center, Internal Medicine Department, Faculty of Medicine of Ribeirao Preto, University of Sao Paulo, avenida dos Bandeirantes, 3900, 14048-900, Ribeirão Preto, São Paulo, Brazil aut NATIONALLICENCE 700 1- Pereira Jr Roberto Image Science and Medical Physics Center, Internal Medicine Department, Faculty of Medicine of Ribeirao Preto, University of Sao Paulo, avenida dos Bandeirantes, 3900, 14048-900, Ribeirão Preto, São Paulo, Brazil aut NATIONALLICENCE 700 1- Rodrigues Jośe Image Science and Medical Physics Center, Internal Medicine Department, Faculty of Medicine of Ribeirao Preto, University of Sao Paulo, avenida dos Bandeirantes, 3900, 14048-900, Ribeirão Preto, São Paulo, Brazil aut NATIONALLICENCE 700 1- Rangayyan Rangaraj Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, T2N 1N4, Calgary, Alberta, Canada aut NATIONALLICENCE 773 0- Journal of Digital Imaging Springer-Verlag 20/2(2007-06-01), 172-190 0897-1889 20:2<172 2007 20 10278 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer