COURSE

AIAA5045

Artificial Intelligence for Medical Imaging

Information Hub / Artificial Intelligence · 3 Credits

This course will explore the basic knowledge and the latest advances of Deep Learning based methods in the medical field, with special attention to challenges and opportunities for Medical AI. This course will provide students the opportunity to learn skills to train/learn/develop Deep Learning models from medical data with several case studies. It covers knowledge on Digital Medical Imaging, supervised learning, semi-supervised learning, and unsupervised learning related with Medical AI research. Importantly, some hot topics on "AI for Medical" will be introduced.

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仅展示 2026-27 Fall;历史教学班可通过学期筛选查看。

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官方 Course Catalog

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2026-27 Fall · PG

3 Credits

官方数据更新时间: 2026-08-28 05:35:00

背景: Familiar to use Python for coding, and have fundamental knowledge of Machine Learning.

历史目录与其他学期
2025-26 Spring · PG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

背景: Familiar to use Python for coding, and have fundamental knowledge of Machine Learning.

2025-26 Winter · PG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

背景: Familiar to use Python for coding, and have fundamental knowledge of Machine Learning.

2025-26 Fall · PG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

背景: Familiar to use Python for coding, and have fundamental knowledge of Machine Learning.

2024-25 Summer · PG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

背景: Familiar to use Python for coding, and have fundamental knowledge of Machine Learning.

2024-25 Spring · PG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

背景: Familiar to use Python for coding, and have fundamental knowledge of Machine Learning.

2024-25 Winter · PG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

背景: Familiar to use Python for coding, and have fundamental knowledge of Machine Learning.

2024-25 Fall · PG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

背景: Familiar to use Python for coding, and have fundamental knowledge of Machine Learning.