Description of Teaching and Learning Methods
In this project participants will work with MRI datasets typically acquired for the examination of bloodflow in the main artery. The goal is to implement and compare different machine learning approaches for the segmentation of these datasets. The sessions will consist of interleaved theoretical and practical tasks. The theoretical sessions will be dedicated to the introduction of the methods to apply for requirement analysis, data preprocessing, machine learning, validation and result presentation. In the practical sessions these methods will be applied to compile a concept for a clinical image analysis application, as well as an implementation and comparison of different machine learning approaches.
