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Medical Image Analysis
Last Updated: 2026-02-05 15:42:05
Abstract
It is the objective of this lecture to introduce the basic concepts usedin Medical Image Analysis. In particular the lecture focuses on shaperepresentation schemes, segmentation techniques, machine learning based predictive models and various image registration methods commonly used in Medical Image Analysis applications.
Objective
This lecture aims to give an overview of the basic concepts of Medical Image Analysis and its application areas.
General Information
- Language
- English
- Levels
- MSC , NDS , WBZ
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- written 120 minutes
- Aids
- None
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise | Medical Image Analysis |
|
2 h weekly |
Offered In
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Recommended Elective Courses (These courses are particularly recommended for the Bioimaging track. Please consult your track adviser if you wish to select other subjects.)
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Signal Processing and Machine Learning (The core courses and specialization courses below are a selection for students who wish to specialize in the area of "Signal Processing and Machine Learning ", see . The individual study plan is subject to the tutor's approval.)
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Core Courses (These core courses are particularly recommended for the field of "Signal Processing and Machine Learning". You may choose core courses form other fields in agreement with your tutor. A minimum of 24 credits must be obtained from core courses during the MSc EEIT.)
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Major Courses (A total of 42 CP must be achieved form courses during the Master Program. The individual study plan is subject to the tutor's approval.)
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