Segmentation of abnormal cells by using level set model

Hawraa Haj-Hassan, Ahmad Chaddad, Camel Tanougast, Youssef Harkouss

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Scopus citations

    Abstract

    Segmentation of image is used from a long time in medical image applications and its study is increased for enhanced the medical diagnosis. This paper concerns a deformable segmentation method for abnormal cells detection by using an improved Level set model which is solved several problems and disadvantages of others segmentation technique. Our approach employed by using real data of carcinoma cells obtained from optical microscopy. Preliminary simulation results showed high performance metrics of the proposed model. Comparative study with manual segmentation demonstrated and confirmed that the level set can be a promise model of abnormal cells detection and in a particularly an irregular shape like carcinoma cells type.

    Original languageEnglish (US)
    Title of host publicationProceedings - 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014
    EditorsZsuzsanna Roka, Imed Kacem, Pierre Laroche
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages770-773
    Number of pages4
    ISBN (Electronic)9781479967735
    DOIs
    StatePublished - Jan 1 2014
    Event2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014 - Metz, France
    Duration: Nov 3 2014Nov 5 2014

    Other

    Other2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014
    CountryFrance
    CityMetz
    Period11/3/1411/5/14

    Keywords

    • Carcinoma
    • Level-set
    • Microscopy
    • Segmentation

    ASJC Scopus subject areas

    • Information Systems and Management
    • Control and Systems Engineering

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  • Cite this

    Haj-Hassan, H., Chaddad, A., Tanougast, C., & Harkouss, Y. (2014). Segmentation of abnormal cells by using level set model. In Z. Roka, I. Kacem, & P. Laroche (Eds.), Proceedings - 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014 (pp. 770-773). [6996994] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CoDIT.2014.6996994