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BME6139 - AI in Medical Imaging

Offering Academic Unit
Department of Biomedical Engineering
Credit Units
3
Course Duration
One Semester
Course Offering Term*:
Not offering in current academic year

* The offering term is subject to change without prior notice
 
Course Aims

AI in medical imaging is experiencing tremendous growth over the world. Biomedical imaging and its analysis are fundamental to understanding, visualizing, and quantifying medical images in clinical applications. With the help of automated and quantitative image analysis techniques, disease diagnosis will be easier/faster and more accurate and leading to significant development in medicine in general. The goal of this course is to help students develop skills in artificial intelligence and machine learning techniques applied to biomedical image analysis. This course will cover the history and the state-of-the-art of the development and deployment of AI in medical imaging. Specifically, the following topics will be covered:

Basics of radiological image modalities and their clinical use
Introduction to medical image computing and machine learning
Medical image registration, segmentation, visualization
Machine learning/deep learning in medical imaging
Frontline of AI in medical imaging

Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 50%
Examination: 50%
Examination Duration: 2 hours
 
Detailed Course Information

BME6139.pdf

Useful Links

Department of Biomedical Engineering