Medical Video Classification

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Please consider this before applying.

The aim of this project is to develop and investigate machine learning methodologies for medical video classification. In many medical problems, clinicians may need to record videos for disease recognition and potentially for treatments. For example, when treating Parkinson’s disease (PD), clinicians may evaluate motor symptoms like hand tremor in order to identify PD, and classify the stage of PD. Early detection of PD would be important as interventions may be helpful. It is also well-known that PD can be identified by looking at the pattern when patients are drinking a cup of water.

In this project, we aim to develop machine learning (or artificial intelligence (AI)) approaches to aid clinicians in identifying and classifying such diseases, particularly Parkinson’s disease. We will have videos which record motor videos (i.e., patients drinking a cup of water and/or hand tremor videos) of a number of patients. We aim to classify these videos to identify the disease and the stage. We will evaluate a number of foundation models for the purpose of video classification. Based on that, we aim to fine-tune those models for our purpose. We will also develop lightweight models for video classification so that they can be deployed on mobile devices. Our ultimate target is to make our product scalable, so it can be widely applied in medical practice.

Informal enquiries can be made by contacting Dr M Zhong (mingjun.zhong@abdn.ac.uk)

Decisions will be based on academic merit. The successful applicant should have, or expect to obtain, a UK Honours Degree at 2.1 (or equivalent) in Computing Science.

We encourage applications from all backgrounds and communities, and are committed to having a diverse, inclusive team.

Application Procedure:

Formal applications can be completed online: https://www.abdn.ac.uk/pgap/login.php.

You should apply for Degree of Doctor of Philosophy in Computing Science to ensure your application is passed to the correct team for processing.

Please clearly note the name of the lead supervisor and project titleon the application form. If you do not include these details, it may not be considered for the project.

Your application must include: A personal statement, an up-to-date copy of your academic CV, and clear copies of your educational certificates and transcripts.

Please note: you do not need to provide a research proposal with this application.

If you require any additional assistance in submitting your application or have any queries about the application process, please don't hesitate to contact us at researchadmissions@abdn.ac.uk

Funding Notes

This is a self-funding project open to students worldwide. Our typical start dates for this programme are February or October.

Fees for this programme can be found here Finance and Funding | Study Here | The University of Aberdeen