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2024-25 Spring - ELEC4840 - Artificial Intelligence for Medical Image Analysis

Course

Description

Instructor(s)/Supervisor(s)/Coordinator(s): Xiaomeng LI
Medical imaging plays a vital role in the entire spectrum of healthcare, ranging from wellness and screening to early diagnosis, treatment selection, and follow-up. The course delves deeply into the latest advancements in Al for medical image analysis, with a specific focus on deep learning techniques for disease screening and detection using medical images. It will cover various topics, including the fundamentals of deep neural networks, the basics of medical imaging, and an exploration of state-of-the-art deep learning models in the context of different types of medical images. The objective is to equip students from diverse backgrounds with both a conceptual understanding and practical skills in cutting-edge research on Al in healthcare. By providing a comprehensive overview of the field and the fundamental techniques necessary for image processing, analysis, and scientific applications, it aims to empower students to effectively utilize images for scientific discovery and practical purposes.
Course period1/02/2530/06/25
Course levelUG
Course formatLecture