Generalisation of the radiotherapy atlas contouring (TRAC) tool

Project overview

Project title

Project 1: Generalisation of the radiotherapy atlas contouring (TRAC) tool: developing advanced auto-segmentation for radiotherapy.

Project description

This project will develop AI tools to both define and check medical image segmentations in radiotherapy clinical trials and clinical practice. The expected outcome is to develop quality assurance tools from artificial intelligence techniques and data from multiple medical imaging modalities. This project will have potential to improve patient outcomes and ensure effective implementation of advanced radiotherapy technologies and clinical trials.

Supervisory team

University

Name of university supervisor	Conjoint Professor Lois Holloway
Name of university	University of New South Wales
Email address	lois.holloway@unsw.edu.au
Faculty	Medicine and Health

CSIRO

Name of CSIRO supervisor	Professor Jason Dowling
Email address	Jason.dowling@csiro.au
CSIRO Research Unit	Health and Biosecurity

Industry 1

Name of industry supervisor	Dr Karen Lim
Name of business/organisation	South Western Sydney Local Health District
Email address	karen.lim@health.nsw.gov.au

Industry 2

Name of industry supervisor	Alisha Moore
Name of business/organisation	Trans-Tasman Radiation Oncology Group Limited
Email address	alisha.moore@trog.com.au

Further details

Primary location of student	University of New South Wales, Liverpool Hospital, Corner Elizabeth and Goulburn Streets, Liverpool NSW 2170, Australia
Industry engagement component location	Liverpool Cancer Therapy Centre, Liverpool Hospital, Corner Elizabeth and Goulburn Streets, Liverpool NSW 2170, Australia
Other locations	CSIRO Herston, 296 Herston Road, Herston QLD 4006, Australia TROG Cancer Research, MHA Building, Edith Street, Waratah West NSW 2298, Australia
Ideal student skillset	Essential skills A background in machine learning and/or imaging seeking to push boundaries in building AI models, working alongside clinical experts. A master’s or bachelor’s degree with honours in, computer science, engineering, physics or equivalent. Proficient programming, data analysis and image processing. Strong communication skills within multi-disciplinary and virtual environments. The ability to work within the required ethics and clinical setting.   Be prepared to undergo onboarding to NSW Health and associated mandatory requirements. Desirable skills An understanding of clinical data including imaging. Knowledge of machine learning and statistical modelling. Knowledge of radiotherapy processes. Strong analytical thinking and problem-solving skills.
Application close date	Open until position filled
Apply	Contact Conjoint Professor Lois Holloway