Visual-Language Large Foundation Models and Their Applications in Medical Image Analysis
Project Description
This project aims to design state-of-the-art technologies, specifically Visual-Language Large Foundation Models for Medical Image Analysis. It encompasses various tasks such as disease segmentation, disease classification, registration, and reconstruction, as well as medical report generation. Students will be tasked with learning, implementing, and exploring novel techniques that can prove beneficial for clinicians and patients.
Supervisor
LI Xiaomeng
Quota
10
Course type
UROP1000
UROP1100
UROP2100
UROP3100
UROP3200
UROP4100
Applicant's Roles
This project is focused on achieving specific outcomes - outcome-driven projects. Students participating in this project will be expected to set goals for themselves, which may include tasks such as participating in a medical image analysis challenge, submitting a workshop, conference, or journal paper, among other possibilities.
*** The project is designed for students who possess a strong motivation to achieve research outcomes and who are eager to dedicate their time to research activities.*** Please do not select if you do not have such intentions or plans.
*** The project is designed for students who possess a strong motivation to achieve research outcomes and who are eager to dedicate their time to research activities.*** Please do not select if you do not have such intentions or plans.
Applicant's Learning Objectives
1. A minimum commitment of 30 hours per week is required.
2. Proficiency in programming is essential.
3. Demonstrating diligence, hard work, and a strong motivation to solve problems is crucial.
2. Proficiency in programming is essential.
3. Demonstrating diligence, hard work, and a strong motivation to solve problems is crucial.
Complexity of the project
Challenging