After completing the course the student:
• will be familiar with the concepts of machine learning and deep learning
• will be familiar with the latest developments and clinical applications of these techniques
• has a basic understanding of neural networks for medical image analysis
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Period (from – till): 13 November 2023 - 2 February 2024 (BMS_P2_A), Part-time
This course covers topics on deep learning for medical image analysis:
• Machine Learning fundamentals
• Deep Learning
• Convolutional Neural Network
• Network Architectures
• Medical Image Analysis applications
During practical sessions students will improve their understanding of the above topics. Additionally there will be a homework group assignment to be handed in at the end of the course.
Literature/study material used:
Deep Learning with PyTorch by Eli Stevens, Luca Antiga, Thomas Viehmann. ISBN: 9781617295263; handouts.
Registration:
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Students' site.
Students from outside the UU or TU/E partnership can register for this course by sending an email to mix@umcutrecht.nl. Please include your name, student number, Master’s programme and the course code.
Mandatory for students in Master’s programme:
no
Optional for students in other GSLS Master’s programme:
yes
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