Comprehensive mapping of the spatial phenotypic landscape of lung adenocarcinoma using self-supervised learning

Rakovic, Kai (2026) Comprehensive mapping of the spatial phenotypic landscape of lung adenocarcinoma using self-supervised 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
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: Le Quesne, Professor John and Yuan, Dr. Ke
Date of Award: 2026
Embargo Date: 8 June 2029
Depositing User: Theses Team
Unique ID: glathesis:2026-86064
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 24 Jun 2026 10:41
Last Modified: 24 Jun 2026 10:41
Thesis DOI: 10.5525/gla.thesis.86064
URI: https://theses.gla.ac.uk/id/eprint/86064

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