E³ - Advanced Courses
E³ 122 - Artificial intelligence (AI) in radiology: the basics you need to know
Lectures
E³ 122 - A. Conventional machine learning vs deep learning
19:02M. de Bruijne, Rotterdam / Netherlands
Learning Objectives
1. To understand the difference between machine learning and deep learning.
2. To learn about the various conventional machine learning techniques.
3. To learn about pros and cons of conventional machine learning vs deep learning.
E³ 122 - B. Training data for deep learning: what is needed?
20:25T. Weikert, Basle / Switzerland
Learning Objectives
1. To learn about what is needed to train neural networks in radiology.
2. To learn about the sources of training data for radiology projects as well as their pros and cons.
3. To learn about the peculiarities of data in radiology and what they mean for the training of algorithms.
E³ 122 - C. Clinical applications of artificial intelligence (AI) in medical imaging
18:57N. Papanikolaou, Lisbon / Portugal
Learning Objectives
1. To learn about the current state of the art of AI applications in medical imaging.
2. To focus on the current challenges related to AI development and deployment in clinical conditions.
3. To understand how AI will transform medical imaging in the long term.
2. To learn about the various conventional machine learning techniques.
3. To learn about pros and cons of conventional machine learning vs deep learning.
2. To learn about the sources of training data for radiology projects as well as their pros and cons.
3. To learn about the peculiarities of data in radiology and what they mean for the training of algorithms.
2. To focus on the current challenges related to AI development and deployment in clinical conditions.
3. To understand how AI will transform medical imaging in the long term.