About the Project
PhD Project Summary:
This project will use a recently-described deep learning technique – self-supervised contrastive learning – to identify patterns in colon cancer and in precancerous polyps, which will enable pathologists to give patients a more accurate prognosis. A large dataset of pathology images is available. The student will create new contrastive learning networks, and train them to identify key features that discriminate different samples. They will then test which of these features lead to poor patient outcomes. The student will be trained in both cancer pathology and deep learning techniques, equipping them with a toolset that is both medically useful and in very high demand.
The MVLS/EPSRC grant provides tuition fees and stipend of at least £15,285 (UKRI rate 2020/21).
Please view application information here: https://www.gla.ac.uk/colleges/mvls/graduateschool/mvlsepsrcstudentships/
Once you have all the required application documentation, please apply here: https://www.gla.ac.uk/study/applyonline/?CAREER=PGR&PLAN_CODES=ZY38-7316
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