BME6139 - AI in Medical Imaging | ||||||||
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| * 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 | ||||||||
