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...
By Chung-Fu Chang on Coursera
About This Course
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.
Topics Covered
Frequently Asked Questions
How much does Artificial Intelligence for Breast Cancer Detection cost?
Visit the Artificial Intelligence for Breast Cancer Detection course page for current pricing and available discounts.
Who teaches Artificial Intelligence for Breast Cancer Detection?
Artificial Intelligence for Breast Cancer Detection is taught by Chung-Fu Chang, Johns Hopkins University.
What skill level is Artificial Intelligence for Breast Cancer Detection for?
This course is designed for all levels learners.
Similar Courses
TensorFlow: Advanced Techniques
DeepLearning.AI
Microsoft Azure AI Fundamentals AI-900 Exam Prep
Microsoft
Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau
Packt
Data Literacy: Exploring and Visualizing Data
SAS