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
02:00
2
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
08:00
4
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
08:00
6
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
08:00
8
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
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
08:00
11
Breast tissue segmentation in digital mammography using deep learning: one method for multiple views and vendors - Sarah Verboom, Nijmegen / NL
08:00
