Deep Learning for Multi-class Retinal Disease Classification in Real-world Setting
Project Description
1, Students will learn basic knowledge about retinal disease classification and deep learning.
2, A weekly meeting with the supervisor is required.
3, Students should be good at programming.
2, A weekly meeting with the supervisor is required.
3, Students should be good at programming.
Supervisor
LI Xiaomeng
Quota
10
Course type
UROP1000
UROP1100
UROP2100
UROP3100
UROP4100
Applicant's Roles
1, Implement some algorithms and understand how AI algorithms work.
2, Read some related papers to find new ideas in this area.
2, Read some related papers to find new ideas in this area.
Applicant's Learning Objectives
1, Participate in some existing projects, if possible.
2, Write a paper or report after finishing the project.
2, Write a paper or report after finishing the project.
Complexity of the project
Moderate