Vacancy (Research Scholarship Scheme)

Project Title: Magnetic Resonance Lumbar Spine Image Classification using Convolutional Neural Networks (CNN)
Location: Kampar campus
Appointment Duration: 1 year
No. of Vacancy: 1 Master candidate
Stipend: RM 2,200/month (Full Tuition Fee Scholarship for candidate with CGPA: 3.5000 and above T&C applies;)
Education Level: Bachelor degree (Hons)
Specific Skills / Knowledge Required: Able to work independently
Job Description:
  1. Lumbar Spine Disk Herniation (DH) is one of the major reasons of lower back pain (LBP). This neurological disease is the second most common ailment in United States and the world.
    In this project, we plan to employ artificial intelligence to classify the herniated and non-herniated disc. A CAD system can be helpful to generate diagnostic results within a short time. It can also increase the accuracy of diagnosis.
    The aim of this research project is to develop deep learning models for automated diagnosis of disc herniation. Various modelling techniques will be studied and applied for their effectiveness in improving the performance of convolutional neural network for automated diagnosis and classification of disc herniation.
How to apply: If you are interested, please contact Ir Dr Yeap Kim Ho via email at yeapkh@utar.edu.my