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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.
Duration 4 Months
Institution Johns Hopkins University
Format Online

Eligibility Criteria

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Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into Johns Hopkins University.

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Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $104
Total Est. Investment $104

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the Artificial Intelligence for Breast Cancer Detection program at Johns Hopkins University are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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