GRA Vacancy on Magnetic Resonance Lumbar Spine Image Classification using Convolutional Neural Networks (CNN) Project

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University / InstituteUniversiti Tunku Abdul Rahman
Start DateAug 01, 2020
Funding AgencyUTAR Reserach Fund
Contact Name / Email(s)Humaira Nisar / yeapkh@utar.edu.my
Contact Phone(s)0165936805, 0165369491
Nationality Requirements on Candidate(s)Open to all nationalities
DescriptionLumbar 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.

Allowance: RM 2200 a month for 2 years

Criteria: Bachelor of engineering in the relevant field with CGPA of at least 2.75
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