Mathematics in medical image analysis: a focus on mammography

Murk Bottema, Mariusz Bajger, Fei Ma, Simon Williams

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Abstract. Automatic detection of breast cancer in screening mammograms is an example of an image analysis task that draws on a wide range of mathematical notions to understand the issues and address diffculties. The criteria for optimality of solutions are generally too complex to allow analytic proofs of best practice but the vast repertoire of mathematical structures and methodology provides the arsenal to move forward. This paper presents a sample of image analysis methods that have been used in attempts to improve early detection of breast cancer.
    Original languageEnglish
    Title of host publicationProceedings of the 6th SEAMS-GMU International conference on mathematics and its applications
    Subtitle of host publicationMathematics and its applications in the development of sciences and technology
    EditorsSri Wahyuni
    Place of Publication9789791797931
    PublisherGadjah Mada University
    Pages51-64
    Number of pages16
    Publication statusPublished - 2012
    EventMathematics and Its Applications in the Development of Sciences and Technology - Gadjah Mada University, Yogyakarta, Indonesia
    Duration: 12 Jul 201115 Jul 2011
    Conference number: 6th

    Conference

    ConferenceMathematics and Its Applications in the Development of Sciences and Technology
    CountryIndonesia
    CityYogyakarta
    Period12/07/1115/07/11

    Keywords

    • image analysis
    • Screening mammography
    • Computer-aided detection
    • Breast cancer

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