Artificial intelligence methods for medical videos
Project Description
We will explore various approaches for automatic disease assessment, action recognition from medical videos. The medical videos include kinds of echocardiogram videos or surgical videos.
Supervisor
LI Xiaomeng
Quota
4
Course type
UROP1000
UROP1100
UROP2100
UROP3100
UROP4100
Applicant's Roles
1, A weekly meeting with the supervisor is required.
2, The applicant should keep close contact with a senior Ph.D. student and report the UROP progress.
3, The applicant is mainly responsible for implementing the algorithm. Hence strong programming ability is highly desirable.
4, Participate in some existing projects, if possible.
2, The applicant should keep close contact with a senior Ph.D. student and report the UROP progress.
3, The applicant is mainly responsible for implementing the algorithm. Hence strong programming ability is highly desirable.
4, Participate in some existing projects, if possible.
Applicant's Learning Objectives
1, The applicant is clear about deep learning and how to use it for medical image applications.
2, Write a paper if possible.
2, Write a paper if possible.
Complexity of the project
Moderate