Research Presentation Sessions: Breast

RPS 1002 - New artificial intelligence applications in breast imaging

Lectures

1
Introduction by the moderator

Introduction by the moderator

04:00Valeria Romeo, Naples / IT

2
Systematic analysis of changes in radiomics features during dynamic breast-MRI: creating specific biomarkers

Systematic analysis of changes in radiomics features during dynamic breast-MRI: creating specific biomarkers

08:00Anna Landsmann, Zürich / CH

3
Training of artificial intelligence (AI) networks for identification and classification of microcalcifications in digital mammography (DM): preliminary data

Training of artificial intelligence (AI) networks for identification and classification of microcalcifications in digital mammography (DM): preliminary data

08:00Giulia Signorelli, Milano / IT

4
Pretreatment prediction of pathologic complete tumour response to neoadjuvant chemotherapy in triple-negative breast cancer patients using dynamic-contrast-enhanced MRI-based radiomics models

Pretreatment prediction of pathologic complete tumour response to neoadjuvant chemotherapy in triple-negative breast cancer patients using dynamic-contrast-enhanced MRI-based radiomics models

08:00Thiemo van Nijnatten, Maastricht / NL

5
Evaluate performance of two different versions of an artificial intelligence (AI) system for predicting the risk of developing interval cancer (IC) within 6 to 24 months after negative screening exam

Evaluate performance of two different versions of an artificial intelligence (AI) system for predicting the risk of developing interval cancer (IC) within 6 to 24 months after negative screening exam

08:00Davut Guner, Istanbul / TR

6
Radiomics in spiral breast CT: potential of texture analysis in breast density classification

Radiomics in spiral breast CT: potential of texture analysis in breast density classification

08:00Anna Landsmann, Zürich / CH

7
The potential of radiomics-based features on screening mammograms in distinguishing molecular subtypes of invasive breast cancer

The potential of radiomics-based features on screening mammograms in distinguishing molecular subtypes of invasive breast cancer

08:00Jim Peters, Nijmegen / NL