ESR Connect

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

RPS 1805a - Artificial intelligence (AI) in breast imaging

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

Lectures

1
Introduction by the moderator

Introduction by the moderator

02:00Chantal Van Ongeval, Leuven / BE

2
Preparing screening mammograms for Artificial Intelligence using deep learning

Preparing screening mammograms for Artificial Intelligence using deep learning

08:00Sofia Salas Aguirre, Guadalajara / MX

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

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

08:00Daan Hellingman, Forchheim / DE

4
The use of deep learning techniques in craniocaudal views in mammography

The use of deep learning techniques in craniocaudal views in mammography

08:00Raluca-Elena Meetescu, Craiova / RO

5
Breast lesion recognition through machine learning: MammoWave clinical trial data

Breast lesion recognition through machine learning: MammoWave clinical trial data

08:00Soumya Rana, London / UK

6
Can an AI-based decision referral approach improve the overall sensitivity of a breast cancer screening programme?

Can an AI-based decision referral approach improve the overall sensitivity of a breast cancer screening programme?

08:00Stefan Bunk, Berlin / DE

7
Detection of breast arterial calcifications on mammograms with deep learning

Detection of breast arterial calcifications on mammograms with deep learning

08:00Nazanin Mobini, Milan / IT

8
Can a screening mammography teaching file with AI improve trainee interpretation skills?

Can a screening mammography teaching file with AI improve trainee interpretation skills?

08:00Pierre Fillard, Paris / FR

9
Implementation of lesion detection box-derived radiomics signature in computer-aided decision support system for breast cancer ultrasound imaging

Implementation of lesion detection box-derived radiomics signature in computer-aided decision support system for breast cancer ultrasound imaging

08:00Zuzanna Magnuska, Aachen / DE

10
A multicentric study to evaluate the effectiveness of machine learning over thermal images for detecting suspected breast cancer

A multicentric study to evaluate the effectiveness of machine learning over thermal images for detecting suspected breast cancer

08:00Sudhakar Sampangi, Bangalore / IN

11
Breast tissue segmentation in digital mammography using deep learning: one method for multiple views and vendors

Breast tissue segmentation in digital mammography using deep learning: one method for multiple views and vendors

08:00Sarah Verboom, Nijmegen / NL

Tags

    Moderators

    • Chantal Van Ongeval

      Leuven / Belgium

    Speakers

    • Sofia Salas Aguirre

      GUADALAJARA / Mexico

    • Daan Hellingman

      Den Hague / Netherlands

    • Raluca-Elena Meetescu

      Craiova / Romania

    • Soumya Prakash Rana

      London / United Kingdom

    • Stefan Bunk

      Berlin / Germany

    • Nazanin Mobini

      Milan / Italy

    • Pierre Fillard

      Paris / France

    • Zuzanna Anna Magnuska

      Aachen / Germany

    • Sudhakar Sampangi

      Bangalore / India

    • Sarah Delaja Verboom

      Nijmegen / Netherlands