ESR/ESOR AI - 0 - Introduction and keynote lecture
Lectures
1
ESOR AI 1 - Keynote lecture - Machine / deep learning for cancer imaging
28:11J. Schnabel, London / UK
Learning Objectives
1. to gain an overview about some of the key deep learning methods applicable to cancer imaging
2. to appreciate the need for annotated and good-quality data for training algorithms
3. to become familiar with some exemplar applications of machine/deep learning in this domain
ESR/ESOR AI - 0-1
Welcome and introduction of the programme
ESR/ESOR AI - 0-2
Keynote lecture: Machine / deep learning for cancer imaging
Learning Objectives
• to gain an overview about some of the key deep learning methods applicable to cancer imaging
• to appreciate the need for annotated and good-quality data for training algorithms
• to become familiar with some exemplar applications of machine/deep learning in this domain
• to appreciate the need for annotated and good-quality data for training algorithms
• to become familiar with some exemplar applications of machine/deep learning in this domain