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Localised 3D mapping for risk assessment and prognosis of inflammatory bowel disease

   Faculty of Engineering and Physical Sciences

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  Prof Andy Bulpitt, Dr Sharib Ali, Dr Venkataraman Subramanian  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

Endoscopy is used to diagnose and monitor disease progression in hollow organs (oesophagus, stomach, colorectal, bladder and ureter, uterus, and peritoneum). Endoscopy remains highly operator dependent with concerns on quality of surveillance and variability in patient outcomes. Both effective patient treatment and minimising associated economic burden is of high importance. Diseases such as Inflammatory Bowel Disease (IBD) require patient monitoring over time and have a higher risk of developing colorectal cancer. IBD is characterised by symptomatic relapse and remission, requiring frequent endoscopic surveillance and risk monitoring through lesion and dysplasia identification. Monitoring and assessing disease progression and measuring response to drug therapy is critical in effective management of IBD. The project will aim at developing deep learning methods for - a) quantifying severity of IBD based on clinically established scoring systems and b) longitudinal comparison using localised 3D maps.

Funding Notes

A highly competitive School of Computing Scholarship covering full Academic Fees at the UK Fee rate of £4,600 or International Fee rate of £25,500 together with a Maintenance grant of £16,062 for academic session 2022/23 per year for 3 years.
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