Through interactive lectures and module exercises, this course illustrates the potential of artificial intelligence in breast imaging. Topics include an introduction of breast cancer and breast imaging, introduction to artificial intelligence in image analysis and computer image processing of cancer detection. The course intends to provide students basic understanding of artificial intelligence approaches to breast cancer detection.
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Students will take quizzes and participate in discussion sessions to re-enforce critical concepts conveyed in the modules. Reading assignments includes journal papers to understand the topics in the modules will be provided. Knowledge of computer image processing is required.
Syllabus
WEEK 1
Introduction to Breast Cancer and Breast Imaging
In module 1, you will be introduced to breast cancer epidemiology and approaches to breast cancer imaging.
WEEK 2
Introduction of Artificial Intelligence
In Module 2, we will introduce the history of AI and the key elements and approaches. We will also define the assessment methods of AI classification performance
WEEK 3
Mammographic Abnormalities
In this module, we will review common abnormalities identified on breast imaging in order to pave the way to thinking about using AI in detection.
WEEK 4
AI Applications to Breast Cancer Detection
In this module, we will explore two major AI approaches which are applicable to the breast cancer detection.
