*This scholarships is part funded by the Welsh Government’s European Social Fund (ESF) convergence programme for West Wales and the Valleys.*
Swansea University is a UK top 30 institution for research excellence (Research Excellence Framework 2014), and has been named Welsh University of the Year 2017 by The Times and Sunday Times Good University Guide.
PhD Scholarship for UK or EU applicants in the field of: Medical imaging and analytics
Brief Summary of project:
The aim of this PhD studentship is to develop and evaluate deep learning algorithms and a software solution to rapidly compare DBT images for a patient from different screening time points. The project will include novel research supporting the development of the analytics system and software product development in a partnership between Topia Systems Ltd, Swansea University and Hywel Dda University Health Board.
The major objectives for the studentship are to:
Develop ‘deep learning’ methods to register DBT images identify features, perform temporal image comparison.Carry out a retrospective study to evaluate algorithms on temporal mammograms.Carry out a prospective study to determine sensitivity/specificity to detect tissue change and evaluate image reading times on select patient cohort.Assist software development (Topia Systems Ltd).
DBT image analysis algorithms suiteClinical software productPublishable retrospective and prospective studies of algorithm evaluationAcquired image analysis and development skills for PhD studentThe achievement of a postgraduate skills development award, PSDA, is compulsory for each KESS II scholar and is based on a 60 credit award
Candidates should have a 2.1 or above in their undergraduate degree or equivalent typically with computer programming experience. They should also be eligible for UK/EU Fees.
The studentship covers the full cost of UK/EU tuition fees, plus a stipend. The bursary will be limited to a maximum of £14,340 p.a. dependent upon the applicant's financial circumstances.
There will also be additional funds available for research expenses.
Please visit our website for more information.