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A Low-cost Approach for Effective Shape-based Retrieval and Classification of Medical Images.

, , , , , and . ISM, page 565-570. IEEE Computer Society, (2005)

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Feature Selection Guided by Perception in Medical CBIR Systems., , , and . HISB, page 323-330. IEEE Computer Society, (2011)Improving CBIR using feature extraction based on wavelet transform., , , , and . WebMedia, page 51-58. ACM, (2008)Supporting Computer-Aided Diagnosis and Content-Based Image Retrieval Systems through Association Rule Mining (Suporte a sistemas de auxílio ao diagnóstico e de recuperação de imagens por conteúdo usando mineração de regras de associação).. University of São Paulo, Brazil, (2008)ndltd.org (oai:agregador.ibict.br.BDTD_USP:oai:teses.usp.br:tde-16022009-144432).SACMiner: A New Classification Method Based on Statistical Association Rules to Mine Medical Images., , , and . ICEIS, volume 73 of Lecture Notes in Business Information Processing, page 249-263. Springer, (2010)Effective shape-based retrieval and classification of mammograms., , , , and . SAC, page 250-255. ACM, (2006)Dimensionality reduction to improve content-based image retrieval: A clustering approach., , , and . BIBM Workshops, page 752-753. IEEE Computer Society, (2012)Evaluating Boundary Conditions and Hierarchical Visualization in CBIR., , and . IV (1), page 68-73. IEEE, (2019)Statistical Association Rules and Relevance Feedback: Powerful Allies to Improve the Retrieval of Medical Images., , , and . CBMS, page 887-892. IEEE Computer Society, (2006)HEAD: The Human Encephalon Automatic Delimiter., , , , and . CBMS, page 171-176. IEEE Computer Society, (2007)SuGAR: A Framework to Support Mammogram Diagnosis., , , , and . CBMS, page 47-52. IEEE Computer Society, (2007)