Deep Learning with Medical Image Analysis
Project Description
This project aims to provide students with an introduction to deep-learning frameworks used in medical image analysis. The project will cover topics such as medical image segmentation, classification, and detection, incorporating the latest advancements in foundation models.
Supervisor
LI Xiaomeng
Quota
3
Course type
UROP3200
Applicant's Roles
The selected applicant will be responsible for conducting a comprehensive literature review, performing experiments, analyzing the results, and potentially contributing to the paper writing process.
Applicant's Learning Objectives
The learning objective of this project is to introduce students who are interested in medical image analysis to the latest cutting-edge methods and techniques in the field.
Complexity of the project
Moderate