Methods for tumour aggression prediction in colorectal cancer through virtual immunohistochemistry, supervised, and self-supervised deep learning

Walsh, Christopher David (2024) Methods for tumour aggression prediction in colorectal cancer through virtual immunohistochemistry, supervised, and self-supervised deep learning. PhD thesis, University of Glasgow.

Due to Embargo and/or Third Party Copyright restrictions, this thesis is not available in this service.

Abstract

Abstract not currently available.

Item Type: Thesis (PhD)
Qualification Level: Doctoral
Additional Information: Supported by funding from Cancer Research UK.
Subjects: R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer)
Colleges/Schools: College of Medical Veterinary and Life Sciences > School of Cancer Sciences
Supervisor's Name: Insall, Professor Robert and Edwards, Professor Joanne
Date of Award: 2024
Embargo Date: 2 February 2025
Depositing User: Theses Team
Unique ID: glathesis:2024-84095
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 09 Feb 2024 10:05
Last Modified: 09 Feb 2024 10:05
Thesis DOI: 10.5525/gla.thesis.84095
URI: https://theses.gla.ac.uk/id/eprint/84095

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