Profile Norhene GARGOURI

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Norhene GARGOURI

  • curriculum vitae
    • First Name
    Norhene
    Last Name
    GARGOURI
    Address
    Technopole of Sfax, PO Box 275, Sakiet Ezzit, 3021 Sfax - Tunisia
    Zip code
    3038
    Biography
    Dr. Norhène Gargouri Ben Ayed is an Associate Professor at the Digital Research Center of Sfax in Tunisia. She is a member of the SM@RT Laboratory and contributes to the Computers Imaging and Electronics Systems (CIELS) research team. Her research focuses on medical image processing, where she integrates advanced techniques such as deep learning, machine learning, and artificial neural networks. Dr. Gargouri has authored over 25 scientific publications, with more than 260 citations. Her notable contributions include breast cancer anomaly detection using possibility theory and clustering paradigms, as well as the development of automatic breast computer-aided diagnosis (CAD) systems based on weighted feature fusion and deep convolutional neural networks. In addition to her research activities, she serves as the President of the Association for Scientific Research (ABORS), reflecting her dedication to scientific advancement and collaboration. Dr. Gargouri holds a Professional Doctorate in Engineering (PDEng) from the National Engineering School of Sfax, where she specialized in electrical engineering. She has also earned her University Habilitation, qualifying her to supervise doctoral research.
    Research Interests
    IA, Medical image processing
    Scientific publications
    Title Cited by Year
    Robust mass classification–based local binary pattern variance and shape descriptors
    AD Masmoudi, NGB Ayed, DS Masmoudi, R Abid
    International Journal of Signal and Imaging Systems Engineering 8 (1-2), 20-27, 2015

    		 11 2015
    A new tsallis based automatic non linear enhancement of mammograms for microcalcifications segmentation in high density breast
    MZ Mehdi, A damak Masmoudi, NG ben Ayed, DS Masmoudi
    International Image Processing, Applications and Systems Conference, 1-5, 2014

    		 5 2014
    Multi-scale Gray Level and Local Difference for texture classification
    NGB Ayed, MG Larousi, AD Masmoudi, DS Masmoudi, R Abid
    2014 World Congress on Computer Applications and Information Systems (WCCAIS …, 2014

    		 2 2014
    A new automated CAD system for classification of malignant and benign lesions
    NGB Ayed, AD Masmoudi, DS Masmoudi
    Asian J. Inf. technolgy 13, 477-484, 2014

    		 2 2014
    A Clinical Decision Support System to Identify and Stage Breast Cancer Tumor
    G Norhene, D Alima, S Dorra, A Riadh
    Annual Research & Review in Biology 4 (23), 3440, 2014

    		 0 2014