Useful links
Unit of study_
ELEC5622: Signals, Software and Health
2024 unit information
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.
Unit details and rules
Managing faculty or University school:
Electrical and Information Engineering
| 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 availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 2 2024
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Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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Modes of attendance (MoA)
This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.
