ESR Connect

    Research Presentation Sessions: Breast

    RPS 1502 - Early diagnosis and breast lesions characterisation

    • ECR 2022
    • 10 Lectures
    • 90 Minutes
    • 10 Speakers

    Lectures

    1
    Introduction by the moderator

    Introduction by the moderator

    02:00Elisabetta Giannotti, Nottingham / UK

    2
    Simultaneous multiparametric [18F]-fluoroethylcholine PET-MRI for the diagnosis of breast cancer

    Simultaneous multiparametric [18F]-fluoroethylcholine PET-MRI for the diagnosis of breast cancer

    08:00Paola Clauser, Vienna / AT

    3
    Dynamic contrast-enhanced MRI and intravoxel incoherent motion diffusion-weighted imaging for predicting breast cancer recurrence

    Dynamic contrast-enhanced MRI and intravoxel incoherent motion diffusion-weighted imaging for predicting breast cancer recurrence

    08:00WanChen Tsai, Taipei / TW

    4
    A machine learning (ML) ensemble based on radiomics to reduce the biopsy rate of ultrasound-detected suspicious breast masses

    A machine learning (ML) ensemble based on radiomics to reduce the biopsy rate of ultrasound-detected suspicious breast masses

    08:00Veronica Magni, Milano / IT

    5
    Evaluation of a deep learning-based artificial intelligence system for breast asymmetry detection

    Evaluation of a deep learning-based artificial intelligence system for breast asymmetry detection

    08:00Lin Li, Shenzhen / CN

    6
    Breast composition may predict breast cancer features and cancer-specific survival

    Breast composition may predict breast cancer features and cancer-specific survival

    08:00Ernest Ekpo, The University Of Sydney / AU

    7
    Digital breast tomosynthesis combined with contrast-enhanced spectral mammography helps reveal anatomic causes of artefacts and benign enhancing findings on subtracted contrast images.

    Digital breast tomosynthesis combined with contrast-enhanced spectral mammography helps reveal anatomic causes of artefacts and benign enhancing findings on subtracted contrast images.

    08:00Olena Weaver, Houston / US

    8
    An effective approach for breast tumour segmentation based on Mask R-CNN architecture

    An effective approach for breast tumour segmentation based on Mask R-CNN architecture

    08:00Nasim Sirjani, Tehran / IR

    9
    Comparison of artificial intelligence computer-aided detection enhanced synthesised mammograms versus original digital mammograms alone and in combination with tomosynthesis images

    Comparison of artificial intelligence computer-aided detection enhanced synthesised mammograms versus original digital mammograms alone and in combination with tomosynthesis images

    08:00Takayoshi Uematsu, Shizuoka / JP

    Tags

      Moderators

      • Elisabetta Breast Giannotti

        nottingham / United Kingdom

      Speakers

      • Paola Clauser

        Vienna / Austria

      • WanChen Tsai

        Taipei / Taiwan, Chinese Taipei

      • Veronica Magni

        Milan / Italy

      • Lin Li

        Shenzhen / China

      • Ernest Usang Ekpo

        Sydney / Australia

      • Shuang Zhao

        Chengdu / China

      • Lisett Cruzado Quiroz

        Lima / Peru

      • Olena Weaver

        Houston / United States

      • Mostafa Ghelichoghli

        Karaj / Iran

      • Takayoshi Uematsu

        Shizuoka / Japan