Statistical temporal changes for breast cancer detection: a preliminary study

    Research output: Contribution to conferencePaper

    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
    Pages635-642
    Number of pages8
    DOIs
    Publication statusPublished - 2014
    Event12th International Workshop on Breast Imaging, IWDM 2014 -
    Duration: 29 Jun 2014 → …

    Conference

    Conference12th International Workshop on Breast Imaging, IWDM 2014
    Period29/06/14 → …

    Keywords

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

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  • Cite this

    Lee, G., & Bajger, M. (2014). Statistical temporal changes for breast cancer detection: a preliminary study. 635-642. Paper presented at 12th International Workshop on Breast Imaging, IWDM 2014, . https://doi.org/10.1007/978-3-319-07887-8_88