Research Presentation Sessions: Imaging Informatics / Artificial Intelligence and Machine Learning

Artificial intelligence (AI) in breast imaging

Lectures

1
Introduction by the moderator - Chantal Van Ongeval, Leuven / BE

Introduction by the moderator - Chantal Van Ongeval, Leuven / BE

02:00

2
Preparing screening mammograms for Artificial Intelligence using deep learning - Sofia Salas Aguirre, Guadalajara / MX

Preparing screening mammograms for Artificial Intelligence using deep learning - Sofia Salas Aguirre, Guadalajara / MX

08:00

3
AI-based strategy to reduce the recall rate and consensus meeting workload of double reading in breast cancer screening with digital mammography: a retrospective evaluation - Daan Hellingman, Forchheim / DE

AI-based strategy to reduce the recall rate and consensus meeting workload of double reading in breast cancer screening with digital mammography: a retrospective evaluation - Daan Hellingman, Forchheim / DE

08:00

4
The use of deep learning techniques in craniocaudal views in mammography - Raluca-Elena Meetescu, Craiova / RO

The use of deep learning techniques in craniocaudal views in mammography - Raluca-Elena Meetescu, Craiova / RO

08:00

5
Breast lesion recognition through machine learning: MammoWave clinical trial data - Soumya Rana, London / UK

Breast lesion recognition through machine learning: MammoWave clinical trial data - Soumya Rana, London / UK

08:00

6
Can an AI-based decision referral approach improve the overall sensitivity of a breast cancer screening programme? - Stefan Bunk, Berlin / DE

Can an AI-based decision referral approach improve the overall sensitivity of a breast cancer screening programme? - Stefan Bunk, Berlin / DE

08:00

7
Detection of breast arterial calcifications on mammograms with deep learning - Nazanin Mobini, Milan / IT

Detection of breast arterial calcifications on mammograms with deep learning - Nazanin Mobini, Milan / IT

08:00

8
Can a screening mammography teaching file with AI improve trainee interpretation skills? - Pierre Fillard, Paris / FR

Can a screening mammography teaching file with AI improve trainee interpretation skills? - Pierre Fillard, Paris / FR

08:00

9
Implementation of lesion detection box-derived radiomics signature in computer-aided decision support system for breast cancer ultrasound imaging - Zuzanna Magnuska, Aachen / DE

Implementation of lesion detection box-derived radiomics signature in computer-aided decision support system for breast cancer ultrasound imaging - Zuzanna Magnuska, Aachen / DE

08:00

10
A multicentric study to evaluate the effectiveness of machine learning over thermal images for detecting suspected breast cancer - Sudhakar Sampangi, Bangalore / IN

A multicentric study to evaluate the effectiveness of machine learning over thermal images for detecting suspected breast cancer - Sudhakar Sampangi, Bangalore / IN

08:00

11
Breast tissue segmentation in digital mammography using deep learning: one method for multiple views and vendors - Sarah Verboom, Nijmegen / NL

Breast tissue segmentation in digital mammography using deep learning: one method for multiple views and vendors - Sarah Verboom, Nijmegen / NL

08:00