Statistical temporal changes for breast cancer detection: a preliminary study

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

    2 Citations (Scopus)

    Abstract

    In this paper, we propose a statistical temporal change scheme for early breast cancer detection. Temporal mammographic data have been found useful to detect changes in the breasts of women. Many temporal analysis approaches require temporal image registration. Variations in patient positioning, changes in the field of view and natural changes in the breasts over time pose significant challenges. Our proposed scheme, on the other hand, does not depend on image registration. Instead, the temporal statistical region merging technqiue was used to find homogeneous breast regions over time. Changes identified are then assessed for abnormality by a rule-based classifier. Using a small temporal dataset of 10 women (5 cancerous and 5 normal), the detection rate was found to be 100% with a 0.1 false positive per case (that is, only one false positive was found in the entire dataset of 10 cases). These preliminary results show that the proposed temporal changes detection scheme has a great potential in providing clinical assistance in early breast cancer detection. The results, however, need to be further verified with a larger dataset.

    Original languageEnglish
    Title of host publicationBreast Imaging - 12th International Workshop, IWDM 2014, Proceedings
    Subtitle of host publication12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 – July 2, 2014. Proceedings
    EditorsHiroshi Fujita, Takeshi Hara, Chisako Muramatsu
    Place of PublicationSwitzerland
    PublisherSpringer
    Pages635-642
    Number of pages8
    ISBN (Electronic)978-3-319-07887-8
    ISBN (Print)978-3-319-07886-1
    DOIs
    Publication statusPublished - 2014
    Event12th International Workshop on Breast Imaging, IWDM 2014 -
    Duration: 29 Jun 20142 Jul 2014
    Conference number: 12th

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer
    Number8539
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference12th International Workshop on Breast Imaging, IWDM 2014
    Period29/06/142/07/14

    Keywords

    • computer-aided detection
    • mammography
    • statistical region merging
    • temporal analysis
    • temporal change detection

    Fingerprint Dive into the research topics of 'Statistical temporal changes for breast cancer detection: a preliminary study'. Together they form a unique fingerprint.

    Cite this