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Johns Hopkins University

Artificial Intelligence for Breast Cancer Detection

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 to mammography. The course content is focused on the AI processing paradigm along with the domain knowledge of breast imaging. This course approach is unique, providing students a broad perspective of AI, rather than homing in on a particular implementation method. Students who complete this course will not only leverage the knowledge into an entry level job in the field of artificial intelligence but also perform well on projects because their thorough understanding of the AI processing paradigm.

Status: Deep Learning
Status: Epidemiology
IntermediateCourse15 hours

Featured reviews

TV

Reviewed Feb 3, 2026

Very informative course, that was detailed and well explained with supporting materials.

AN

Reviewed May 17, 2023

It was a very good experience. I am glad I opted for this.

HP

Reviewed Oct 3, 2021

The session was indeed informative and as best as it could've been. I am glad to be a participant and look forward to learn.

BA

Reviewed Oct 10, 2022

i​t has been really helpful and informative for me.

DD

Reviewed 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.

CD

Reviewed Feb 24, 2022

Clear explanationsGreat testing and feedbackI loved this course.

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