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PhD Studentship: Optical Tomography (OCT) and Deep Learning for Breast Cancer

University of Kent
Kent, UK
Posting live until
29 Feb 2024

Job Details

The University of Kent is inviting applications for a fully-funded PhD Studentship in Optics/Photonics/Physics/Artificial Intelligence for a period of 36 months within the Applied Optics Group (AOG) in the Division of Natural Sciences. The position is supported by the University of Kent and is associated with the MRC grant: Quantitative OCT-Raman spectral imaging for intra-operative detection of positive margins in breast-conserving surgery, a collaboration with University of Nottingham.

Project Description:

OCT, due to its non-invasive and high-resolution capabilities of imaging the tissue, has evolved into a versatile, highly professional diagnostic method.

Research will focus on innovative solutions for multi-view imaging of biopsies and a combination of OCT imaging with Raman investigation.

About half the PhD work will consist of developing deep learning techniques for the interpretation of breast cancer images. We will look at the most efficient preparation and pre-processing of the images. This will be followed by a meta-analysis of existing classifiers of breast cancer images. Finally, we will take a data-centric approach to automate interpretation of the images.

The systems assembled will generate data that will enable healthcare providers to supply cost-effective, targeted treatment, not currently possible with conventional technology.

Once the OCT systems are assembled, their use and functionality will be tested under the specialised supervision of Professor Ioan Notingher and clinicians at the University of Nottingham. The applicant should collaborate with the AI team in equipping the diagnosis software with AI enhancement.

The successful applicant will also have the opportunity to visit the collaborating team at the University of Nottingham.

For more information on research in the Applied Optics Group, applicants may visit:


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