Medical Image Processing for Cancer and Fertility Detection

Edith Cowan University, Australia

Updated: 9 months ago
Location: Mount Lawley, WESTERN AUSTRALIA
Deadline: ;

Project Outline:

This research aims at developing a methodology that will allow for the automation of anomaly detection for cancer and fertility cell detection.

The research will investigate the optimal image processing techniques for detecting various attributes of these images.  The automation of this process can assist pathologists by reducing the time to analyze samples.

Current manual methods of  processing and detecting anomalies are both time consuming and require a degree of expertise .  The proposed outcome of this research will be the development of an automated expert system that can process through large numbers of pathology images and identify image anomalies.

Desired Skills:

  1. Skills in Database Programming, and Artificial Intelligent systems and Advanced Computer Programming.  (Essential)
  2. Image Processing techniques (Essential)
  3. Matlab, R or other languages (Essential)
  4. Experience in Medical science an advantage (Desirable)
  5. Good oral and report writing skills (Essential)
  6. Able to work in team environment  (Essential)
  7. Good project management skills (Essential)

Project Area: Computer Science

Supervisor(s): Dr Leisa Armstrong and T M Shahriar, Dr Amiya Tripathy

Project level: Honours, Masters, PhD

Funding: Applicant should apply for ECUHDR or RTP Scholarship

Start date: Semester 1 2022

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