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Unit of study_
ELEC5622: Signals, Software and Health
This unit is related to health informatics and focuses on introducing the acquisition, processing, and analysis of medical imaging signals. It introduces multiple widely used medical imaging techniques such as MRI, diffusion MRI, X-ray, and CT, as well as both the conventional and deep learning based image processing and machine learning methods to analyse medical image data for diagnosis. During the course, some commonly used software and platforms for medical image analysis, especially for brain image analysis, will also be covered.
| Code | ELEC5622 |
|---|---|
| Academic unit | Electrical and Information Engineering |
| Credit points | 6 |
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Prerequisites:
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None |
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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Mathematics (linear algebra and probabilities) and basic programming skills (python/matlab/C++/java) |
At the completion of this unit, you should be able to:
- LO1. use appropriate software platforms to process and analyse medical imaging signals
- LO2. explain the principles of common medical imaging techniques and understand the foundations of how 3D medical images are formed from these signals.
- LO3. understand and apply the common techniques for medical image processing and analysis, including both the conventional and the deep learning based methods.
- LO4. use the existing medical image processing and machine learning toolboxes for medical image analysis.
- LO5. write professional technical reports and make presentations to communicate complex materials in clear and concise terms.
- LO6. develop basic team work and project management skills through a group project
Unit outlines
Unit outlines will be available 2 weeks before the first day of teaching for the relevant session.
- Semester 2, 2023 [Normal day] - Camperdown/Darlington, Sydney
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