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Artificial Intelligence for Breast Cancer Detection
Johns Hopkins University via Coursera
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Overview
The objective of this course is to provide students the knowledge of artificial intelligence processing approaches to breast cancer detection. Students will take quizzes and participate in discussion sessions to reinforce critical concepts conveyed in the modules. Reading assignments, including journal papers to understand the topics in the modules, will be provided. The course is designed for students who are interested in the career of product development using artificial intelligence and would like to know how AI can be applied...
Syllabus
- Introduction to Breast Cancer and Breast Imaging
- In module 1, you will be introduced to breast cancer epidemiology and approaches to breast cancer imaging.
- 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
- 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.
- AI Applications to Breast Cancer Detection
- In this module, we will explore two major AI approaches which are applicable to the breast cancer detection.
Johns Hopkins University via Coursera
14 hours 33 minutes
Paid Certificate Available
English
On-Demand
Intermediate
Instructor
Chung-Fu Chang
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