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Detection of Breast Masses in Mammogram Images Using Growing Neural Gas Algorithm and Ripley’s K Function

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Abstract

Breast cancer is a serious public health problem in several countries. Computer-aided detection/diagnosis systems (CAD/CADx) have been used with relative success in aid of health care professionals. The goal of such systems is not to replace the professionals, but to join forces in order to detect the different types of cancer at an early stage. The main contribution of this work is the presentation of a methodology for detecting masses in digitized mammograms using the growing neural gas algorithm for image segmentation and Ripley’s K function to describe the texture of segmented structures. The classification of these structures is accomplished through support vector machines which separate them in two groups, using shape and texture measures: masses and non-masses. The methodology obtained 89.30% of accuracy and a rate of 0.93 false positives per image.

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Acknowledgements

The authors acknowledge CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior)—process 0044/05-9, and FAPEMA (Fundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do Maranhão) for their financial support.

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Authors and Affiliations

  1. Department of Electrical Engineering, Federal University of Maranhão—UFMA, Av. dos Portugueses, SN, Campus do Bacanga, Bacanga, 65085-580, São Luís, MA, Brazil

    Leonardo de Oliveira Martins & Aristófanes Corrêa Silva

  2. Department of Computer Science, Federal University of Maranhão—UFMA, Av. dos Portugueses, SN, Campus do Bacanga, Bacanga, 65085-580, São Luís, MA, Brazil

    Anselmo Cardoso de Paiva

  3. Departament of Informatics, Pontifical Catholic University of Rio de Janeiro, Technical Scientific Center, Rua Marquês de São Vicente, 225, Gávea, 22453-900, Rio de Janeiro, RJ, Brazil

    Marcelo Gattass

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  1. Leonardo de Oliveira Martins
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  2. Aristófanes Corrêa Silva
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  3. Anselmo Cardoso de Paiva
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  4. Marcelo Gattass
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Correspondence to Leonardo de Oliveira Martins.

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de Oliveira Martins, L., Silva, A.C., de Paiva, A.C. et al. Detection of Breast Masses in Mammogram Images Using Growing Neural Gas Algorithm and Ripley’s K Function. J Sign Process Syst Sign Image Video Technol 55, 77–90 (2009). https://doi.org/10.1007/s11265-008-0209-3

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  • DOI: https://doi.org/10.1007/s11265-008-0209-3

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