Special Focus Session - Organised by ESR eHealth and Informatics Subcommittee
SF 18 - Deep learning and image quality
Lectures
1
SF 18 - AI-enhanced image processing: noise reduction
18:30J. Greffier, Nimes / France
Learning Objectives 1. To gain basic understanding of noise and how to measure it in radiologic imaging. 2. To learn the principles of AI-enhanced noise reduction in medical imaging. 3. To know the advantages and inconveniences of AI-enhanced noise reduction.
2
SF 18 - How to use deep learning to improve image quality
17:56Y. Nakamura, Hiroshima / Japan
Learning Objectives 1. To understand how image quality in radiology is traditionally improved. 2. To learn how deep learning can be used to improve image quality. 3. To explain the advantage of using deep learning to improve image quality.
3
SF 18 - AI helping to optimise dose and contrast agent application
20:11C. Hoeschen, Magdeburg / Germany
Learning Objectives 1. To learn about the relationship between radiation dose, contrast medium application and image quality. 2. To understand how AI can be used to optimise dose and contrast medium application.
PEP Subscription Required
This course is only accessible for ESR Premium Education Package subscribers.