Artificial Intelligence for Breast Cancer Detection free videos and free material uploaded by Johns Hopkins University Staff .
Introduction to Breast Cancer and Breast Imaging
In module 1, you will be introduced to breast cancer epidemiology and approaches to breast cancer imaging
Introduction of Artificial Intelligence
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
Mammographic Abnormalities
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
AI Applications to Breast Cancer Detection
In this module, we will explore two major AI approaches which are applicable to the 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
- 0 Reviews
- 0 Students
- 180 Courses
Write a public review