MIT & MITM 12/18cp Projects
Gaussian Mixture Models for Medical Images Processing
Gaussian Mixture Model (GMM) enables flexible and statistical modelling of observed digital images
with multimodal characteristics, and has been widely used in many areas of digital image processing.
This project will investigate several recently proposed approaches to the estimation of GMM parameters, with the aim of applying them to medical image segmentation. By finishing this project, students will learn basic techniques in medical image processing and statistical decision making and be more experienced in programming and problem solving.
Keywords: Medical image analyse, Gaussian Mixture Model, PET-CT imaging
Supervisors: Prof. David Dagan Feng, Dr. Yong Xia
Research Locations: Level 3, School of IT building J12