Medical data, especially imaging data and clinical records, are central to modern, AI-driven healthcare. This course equips students with data science techniques to analyze medical images and clinical data, using machine learning / deep learning, and Bayesian methods. Students will explore key challenges such as data preprocessing, validation, and augmentation, and will develop predictive models for clinical applications.
- ZHAW Teacher: Lea Bührer (N Wiss. Assistentin)
- ZHAW Teacher: Stefan Glüge (N Lehr- und Forschungspersonal)
- ZHAW Teacher: Norman Juchler (N Lehr- und Forschungspersonal)
- ZHAW Teacher: Georg Spinner (N Lehr- und Forschungspersonal)
