Artificial Intelligence for Breast Cancer Detection

4.39

Updated on

Course overview

Provider
Coursera
Course type
Free online course
Level
Intermediate
Deadline
Flexible
Duration
15 hours
Certificate
Paid Certificate Available
Course author
Chung-Fu Chang
  • Breast Imaging; AI Processing Paradigm; Performance Assessment Metrics

Description

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.

Similar courses

Machine Learning
  • Flexible deadline
  • 61 hours
  • Certificate
Neural Networks and Deep Learning
  • Flexible deadline
  • 27 hours
  • Certificate
Introduction to Machine Learning in Production
  • Flexible deadline
  • 10 hours
  • Certificate
Artificial Intelligence for Breast Cancer Detection
  • English language

  • Recommended provider

  • Certificate available