Intensity independent texture analysis in screening mammograms

Xizhao Li, Simon Williams, Murk Bottema

    Research output: Contribution to conferencePaper

    5 Citations (Scopus)

    Abstract

    Image texture features for detecting malignant masses in screening mammograms are proposed that are independent of background intensity mean and variation. Subtracting local means and dividing by local standard deviation reveals linear structures of approximately 0.7 mm width in screening mammograms. A simple texture feature calculated from on this derived image is used to demonstrate that texture information associated with the location of cancer is retained in the mean and standard deviation normalized image. Such texture features have the potential to provide evidence of malignancy that better complements intensity based features for detecting breast cancer in screening mammograms.

    Original languageEnglish
    Pages474-481
    Number of pages8
    DOIs
    Publication statusPublished - 15 Aug 2012
    EventIWDM 2012 -
    Duration: 8 Jul 2012 → …

    Conference

    ConferenceIWDM 2012
    Period8/07/12 → …

    Keywords

    • breast cancer
    • computer-aided mammography
    • mass detection
    • texture

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