Oliveira, Júlia E. E.Machado, Alexei M. C.Cámara Chávez, GuillermoLopes, Ana Paula B.Deserno, Thomas N.Araújo, Arnaldo de Albuquerque2015-01-282015-01-282010OLIVEIRA, J. E. E. et al. MammoSys: a content-based image retrieval system using breast density patterns. Computer Methods and Programs in Biomedicine, v. 99, p. 289-297, 2010. Disponível em: <http://www.sciencedirect.com/science/article/pii/S0169260710000180>. Acesso em: 22 jan. 2015.0169-2607http://www.repositorio.ufop.br/handle/123456789/4413In this paper, we present a content-based image retrieval system designed to retrieve mammographies from large medical image database. The system is developed based on breast density, according to the four categories defined by the American College of Radiology, and is integrated to the database of the Image Retrieval in Medical Applications (IRMA) project, that provides images with classification ground truth. Two-dimensional principal component analysis is used in breast density texture characterization, in order to effectively represent texture and allow for dimensionality reduction. A support vector machine is used to perform the retrieval process. Average precision rates are in the range from 83% to 97% considering a data set of 5024 images. The results indicate the potential of the system as the first stage of a computer-aided diagnosis framework.en-USMedical imagesBreast densityContent based image retrievalTwo dimensional principal component analysisSupport vector machineArtigo publicado em periodicoO periódico Computer Methods and Programs in Biomedicine concede permissão para depósito do artigo no Repositório Institucional da UFOP. Número da licença: 3552530073869.https://doi.org/10.1016/j.cmpb.2010.01.005