Content, progress and pedagogy of the module

Learning objectives

Knowledge

• Can explain concepts, theories and methods within image analysis
• Can account for how images can be analysed using data-based and model-based methods
• Can explain linear and non-linear methods for inter-subject and intra-subject image registration
• Can explain the geometric properties of medical images
• Can account for the use of machine learning in image analysis

Skills

• Can implement and apply basic image analysis algorithms including filtering, morphology, segmentation, geometric transformations, intensity transformations, and texture analysis
• Can apply methods to detect and extract objects from images
• Can apply image analysis methods to extract image features
• Can use linear registration of images
• Can apply methods to perform a time sequence analysis

Competences

• Can demonstrate understanding of theories and methods in image analysis
• Can choose relevant image analysis methods to solve biomedical problems based on medical images

Type of instruction

The module is taught, cf. §17 of the study programme

Exam

Exams