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
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Artificial Intelligence for Breast Cancer Detection
Instructors: Chung-Fu Chang
4,038 already enrolled
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Gain insight into a topic and learn the fundamentals.
4.6
(66 reviews)
Intermediate level
Recommended experience
14 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Breast Imaging; AI Processing Paradigm; Performance Assessment Metrics
Details to know
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Assessments
16 assignments
Taught in English
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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
Instructors
Instructor ratings
4.6 (27 ratings)Offered by
Recommended if you're interested in Machine Learning
Coursera Project Network
Politecnico di Milano
Macquarie University
Scrimba
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