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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.
Study level | Postgraduate |
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Academic unit | School of Electrical and Computer Engineering |
Credit points | 6 |
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:
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 2025
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Normal day | Camperdown / Darlington, Sydney |
Outline unavailable
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Session | MoA ? | Location | Outline ? |
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Semester 2 2020
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Normal day | Camperdown / Darlington, Sydney |
View
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Semester 2 2021
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Normal day | Camperdown / Darlington, Sydney |
View
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Semester 2 2021
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Normal day | Remote |
View
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Semester 2 2022
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Normal day | Camperdown / Darlington, Sydney |
View
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Semester 2 2022
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Normal day | Remote |
View
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Semester 2 2023
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Normal day | Camperdown / Darlington, Sydney |
View
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Semester 2 2024
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Normal day | Camperdown / Darlington, Sydney |
View
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Find your current year census dates
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.