GRA Vacancy on Magnetic Resonance Lumbar Spine Image Classification using Convolutional Neural Networks (CNN) Project
|University / Institute||Universiti Tunku Abdul Rahman|
|Start Date||Aug 01, 2020|
|Funding Agency||UTAR Reserach Fund|
|Contact Name / Email(s)||Humaira Nisar / email@example.com|
|Contact Phone(s)||0165936805, 0165369491|
|Nationality Requirements on Candidate(s)||Open to all nationalities|
|Description||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.
Allowance: RM 2200 a month for 2 years
Criteria: Bachelor of engineering in the relevant field with CGPA of at least 2.75