It is the objective of this lecture to introduce the basic concepts used in Medical Image Analysis. In particular the lecture focuses on shape representation schemes, segmentation techniques, machine learning based predictive models and various image registration methods commonly used in Medical Image Analysis applications.
This lecture aims to give an overview of the basic concepts of Medical Image Analysis and its application areas.
Prerequisites / Notice
Prerequisites: Basic concepts of mathematical analysis and linear algebra.
Preferred: Basic knowledge of computer vision and machine learning would be helpful.
The course will be held in English.
Performance assessment information (valid until the course unit is held again)