2024 RTP round - Development of Advanced Computer Vision and Deep Learning Models for Medical Image Analysis: Alzheimer's Disease as a Use Case

Status: Closed

Applications open: 7/07/2023
Applications close: 25/08/2023

View printable version [.pdf]
About this scholarship
Description/Applicant information

This research project focuses on leveraging advanced computer vision (CV) and deep learning (DL) techniques to develop a state-of-the-art computer-aided detection and diagnosis (CAD) system for early-stage Alzheimer's disease (AD) detection and diagnosis. Medical image analysis plays a vital role in the medical field, and CAD systems can assist doctors in making accurate and efficient decisions by providing valuable insights from medical imaging data. The project will focus on addressing the challenges associated with accurately analysing and interpreting medical images, particularly in the context of AD.

Our aim of this research is to construct secure and accurate computational tools for enhancing disease identification and diagnosis using medical images, specifically targeting early-stage AD detection. By leveraging advanced CV and DL models, the project aims to develop a sophisticated CAD system capable of effectively analysing large-scale medical image datasets, including X-ray, CT, or MRI scans.

The specific objectives of this project are (1) Explore and employ transfer learning techniques to overcome the limitations of limited annotated data for training deep learning models. (2) Develop innovative computer vision algorithms for feature extraction and mass detection in medical images, with a focus on AD-related abnormalities. And (3) Design a robust CAD system and evaluate the performance of the CAD system using large-scale medical image datasets, assessing its accuracy, efficiency, and usability in real-world clinical settings.

The significance of this research project lies in its potential to revolutionize early-stage AD detection and diagnosis by leveraging advanced CV and DL techniques. By developing a state-of-the-art CAD system, healthcare professionals will be empowered with a powerful tool for accurately interpreting medical imaging data and identifying AD-related abnormalities at an early stage. Early detection and diagnosis of AD are crucial for initiating timely interventions and treatments, reducing the risk of further brain damage, and improving patient outcomes. Additionally, the research outcomes will have broader implications in the field of medical image analysis and tele-health, contributing to the advancement of CAD systems for various other diseases and medical conditions.

This project may provide an Internship opportunity. The student will undertake a 3–6-month internship at the HIVE (Health In Virtual Environments) unit which is part of the East Metro Health Service. IP arrangements for commercialisation will be concluded prior to the commencement of the internship.

Student type

• Future Students

Faculty

• Faculty of Science & Engineering
  • Engineering courses

Course type

• Higher Degree by Research

Citizenship

• Australian Citizen
• Australian Permanent Resident
• New Zealand Citizen
• Permanent Humanitarian Visa

Scholarship base

• Merit Based

Value

The annual scholarship package (stipend and tuition fees) is approx. $60,000 - $70,000 p.a.

Successful HDR applicants for admission will receive a 100% fee offset for up to 4 years, stipend scholarships at the 2023 RTP rate valued at $32,250 p.a. for up to a maximum of 3 years, with a possible 6-month completion scholarship. Applicants are determined via a competitive selection process and will be notified of the scholarship outcome in November 2023. 

For detailed information, visit: Research Training Program (RTP) Scholarships | Curtin University, Perth, Australia.

Scholarship Details
Maximum number awarded

1

Eligible courses

All applicable HDR courses

Eligibility criteria

We are looking for an enthusiastic PhD student with a first-class honour’s degree or good Master’s in Biomedical Engineering or Computer Science or computing focused Electrical and Electronic Engineering. The applicant must have a willingness to learn multi-disciplinary topics and have a passion for research with social good application. Prior experience in writing their own AI models will be complemented by some experiment conduct experiences. The applicant must be eligible to enrol in PhD program at Curtin University, and physically present in WA for the duration of the PhD research.

Application process

This project has identified a preferred candidate and is no longer available.  Please review remaining scholarships projects .

Enrolment Requirements

Eligible to enrol in a Higher Degree by Research Course at Curtin University by March 2024.

Recipients must complete their milestone 1 within 6 month of enrolment and remain enrolled on a full-time basis for the duration of the scholarship.

Enquiries

The Project lead has identified a preferred candidate and is no longer accepting applications. Please click here to review remaining scholarships projects.

Scholarships Email Alert
Sign up now