Texture and region dependent breast cancer risk assessment from screening mammograms

Xizhao Li, Simon Williams, Murk Bottema

    Research output: Contribution to journalArticlepeer-review

    12 Citations (Scopus)

    Abstract

    Breast density is a known risk factor for breast cancer. Here two classes of texture features, one based on textons derived from local pixel intensity variation and one based on oriented tissue structure characteristics are measured on different regions of the breast in an effort to clarify the potential contribution of texture independent of local tissue density to estimate breast cancer risk. The region just behind the nipple is found to be the most significant local region for estimating risk, but estimates based on the entire breast perform better. Texton features are found to perform better than features based on oriented tissue structure.

    Original languageEnglish
    Pages (from-to)117-124
    Number of pages8
    JournalPattern Recognition Letters
    Volume36
    Issue number1
    DOIs
    Publication statusPublished - 2014

    Keywords

    • Breast cancer
    • Risk assessment
    • Screening mammograms
    • Textons
    • Texture analysis

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