Medical image segmentation and classification

Medical image segmentation helps clinicians focus on a particular area of the disease and extract detailed information for a more accurate diagnosis. The key challenges associated with medical image segmentation are data availability and accuracy of the developed algorithms. Machine learning techniques are applied to both segmentation and classification using different machine learning algorithms which are applied MRI and CT scans. The aim of this project is to develop an algorithm that is highly accurate, and in the meantime, light/fast and can be explained (explainable AI). MRI and CT scan data will be used to develop and test the algorithm which can be verified by clinicians.

MRI data and CT scans data are available to be used in the project for network training and testing. MRI will be used as the input images, while the CT scans will be the target images used in supervised learning techniques.

The student should have knowledge in MATLAB or Python programming in order to be able to develop deep learning algorithms for image segmentation. In addition, the student will be using GPU servers in order to accelerate the computational speed. Hence knowledge of hardware/server use is essential.

How to apply

If you are interested in applying for the above PhD topic please follow the steps below:

1. Contact the supervisor by email or phone to discuss your interest and find out if you woold be suitable. Supervisor details can be found on this topic page. The supervisor will guide you in developing the topic-specific research proposal, which will form part of your application.
2. Click on the 'Apply here' button on this page and you will be taken to the relevant PhD course page, where you can apply using an online application.
3. Complete the online application indicating your selected supervisor and include the research proposal for the topic you have selected.

Good luck!

This is a self funded topic

Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: https://www.brunel.ac.uk/research/Research-degrees/Research-degree-funding. The UK Government is also offering Doctoral Student Loans for eligible students, and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.

Meet the Supervisor(s)

Maysam Abbod - Education - Dr Maysam F. Abbod (MIET, CEng, SMIEEE, SFHEA) He received BSc degree in Electrical Engineering fromUniversity of Technology in 1987. PhD in Control Engineering fromUniversity ofSheffield in 1992. From 1993 to 2006 he was with the Department of Automatic Control and Systems Engineering at theUniversity of Sheffield as a research associate and senior research fellow