Learning Outcomes:
After completion of this module, the student will be able to:
1. Solve problems at the interface of computer science, imaging and medicine.
2. Explain how digital images are represented, manipulated and processed.
3. Apply advanced image processing algorithms to medical images to derive meaningful information.
4. Apply supervised and unsupervised machine learning techniques to segment and classify medical images.
5. Develop, validate and interpret AI models to gain insight into disease as diagnosed by medical imaging.
Indicative Module Content:
Advanced AI applications will include XAI or explainable AI; multi-modality: MRI classification with multi-modal inputs, e.g. from another imaging modality; transfer-learning: learn features on large datasets and transfer them to different, smaller datasets.