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.
Artificial Intelligence for Breast Cancer Detection
Instructors: Chung-Fu Chang
Sponsored by MAHE Manipal
4,145 already enrolled
(67 reviews)
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What you'll learn
Breast Imaging; AI Processing Paradigm; Performance Assessment Metrics
Skills you'll gain
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There are 4 modules in this course
In module 1, you will be introduced to breast cancer epidemiology and approaches to breast cancer imaging.
What's included
5 videos2 readings4 assignments4 plugins
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
What's included
4 videos4 assignments4 discussion prompts
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.
What's included
4 videos6 readings4 assignments2 plugins
In this module, we will explore two major AI approaches which are applicable to the breast cancer detection.
What's included
4 videos1 reading4 assignments4 discussion prompts
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Reviewed on Jun 13, 2023
It was extremely detailed and gave me a thorough understanding of the topic. I hope to have more courses like this in the future.
Reviewed on Feb 24, 2022
Clear explanations
Reviewed on Oct 10, 2022
it has been really helpful and informative for me.
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