AN ARTIFICIAL INTELLIGENCE FRAMEWORK FOR AUTOMATIC SKIN CANCER SEGMENTATION USING A SMALL TRAINING DATASET

    Research output: Contribution to conferenceAbstract

    Original languageEnglish
    Publication statusPublished - 2019
    Event25th Congress of the European Society of Biomechanics - University of Vienna, Vienna, Austria
    Duration: 7 Jul 201910 Jul 2019
    Conference number: 25
    https://esbiomech.org/conference/esb2019/

    Conference

    Conference25th Congress of the European Society of Biomechanics
    Abbreviated titleESB 2019
    CountryAustria
    CityVienna
    Period7/07/1910/07/19
    Internet address

    Cite this

    @conference{2ba31984666d46ecb69bbfb8371ff7ef,
    title = "AN ARTIFICIAL INTELLIGENCE FRAMEWORK FOR AUTOMATIC SKIN CANCER SEGMENTATION USING A SMALL TRAINING DATASET",
    author = "Beril Sirma{\cc}ek and {van der Heijden}, Ferdinand and Momen Abayazid and {Naghibi Beidokhti}, Hamid and Max Kivits",
    year = "2019",
    language = "English",
    note = "25th Congress of the European Society of Biomechanics , ESB 2019 ; Conference date: 07-07-2019 Through 10-07-2019",
    url = "https://esbiomech.org/conference/esb2019/",

    }

    Sirmaçek, B, van der Heijden, F, Abayazid, M, Naghibi Beidokhti, H & Kivits, M 2019, 'AN ARTIFICIAL INTELLIGENCE FRAMEWORK FOR AUTOMATIC SKIN CANCER SEGMENTATION USING A SMALL TRAINING DATASET' 25th Congress of the European Society of Biomechanics , Vienna, Austria, 7/07/19 - 10/07/19, .

    AN ARTIFICIAL INTELLIGENCE FRAMEWORK FOR AUTOMATIC SKIN CANCER SEGMENTATION USING A SMALL TRAINING DATASET. / Sirmaçek, Beril ; van der Heijden, Ferdinand ; Abayazid, Momen ; Naghibi Beidokhti, Hamid ; Kivits, Max.

    2019. Abstract from 25th Congress of the European Society of Biomechanics , Vienna, Austria.

    Research output: Contribution to conferenceAbstract

    TY - CONF

    T1 - AN ARTIFICIAL INTELLIGENCE FRAMEWORK FOR AUTOMATIC SKIN CANCER SEGMENTATION USING A SMALL TRAINING DATASET

    AU - Sirmaçek, Beril

    AU - van der Heijden, Ferdinand

    AU - Abayazid, Momen

    AU - Naghibi Beidokhti, Hamid

    AU - Kivits, Max

    PY - 2019

    Y1 - 2019

    M3 - Abstract

    ER -