Brain Tumour Analysis Project
Main:
Home
Project Description
Technology:
Segmentation
Growth Prediction
Database
Software
Overhead:
Publications
People
Image Gallery
Sponsors
Links
Glossary
Primer
Internal Use
Contact Us
Machine learning to improve brain cancer treatment.


This project is currently retired, and not seeking new students.

Medical Image Processing Reading Group


Overview

The Brain Tumour Analysis Project is a collaboration between the University of Alberta's Computing Science Department and Cross Cancer Institute to apply machine learning and computer vision techniques to the analysis of brain tumour patient MRI data. The project's ultimate purpose is to apply these methods to improving the treatment of brain tumours (see Project Description for details).

Project Goals:

  1. Automatic tumour segmentation
  2. Brain tumour growth prediction
  3. Diagnosis and prognosis
  4. Database of brain tumour images

Methodologies / Techniques:

  • Machine Learning
    • Conditional random fields
    • Bayesian belief networks
    • Linear classifiers (eg: support vector machine, logistic regression)

  • Computer Vision
    • Level sets and variational methods
    • Graph cuts


Outline of Navigation Panel (on the left)

Main:

  • Home is this page.

  • Project Description gives a detailed description of the project, its goals, and relevant background.

Technology:

  • Segmentation summarizes our Automatic Segmentation Program, ASP.

  • Growth Prediction summarizes our overall approach to predicting how tumours will grow.

  • Database summarizes our work on creating a database of patient scans as well as a search tool to allow physicians and researchers to efficiently retrieve relevant cases from the database.

  • Software summarizes the software we have developed.

Overhead:

  • Publications provides links to our publications and news releases about our work.

  • People lists the people involved with this project.

  • Sponsors lists supporting organizations.

  • Links has pointers to researchers not in our group who are working on similar projects along with relevant papers, software, etc. (See Primer for some introductory material; and Publications for our publications and news releases about our work.)

  • Glossary defines many of the technical terms we use.

  • Primer provides introductory information about the foundations of this project:
    brains, tumours/cancer, MRI, imaging.

  • Internal Use is accessible by project members only.

  • Contact Us shows how to contact.