Automated image quality assessment and landmark localisation in ultra-widefield retinal images

Wakeford, Peter Robert (2021) Automated image quality assessment and landmark localisation in ultra-widefield retinal images. EngD 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 (EngD)
Qualification Level: Doctoral
Keywords: Retinal imaging, retinal image analysis, deep learning, landmark localisation, scanning laser opthalmoscope, automated image quality assessment.
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Colleges/Schools: College of Science and Engineering > School of Physics and Astronomy
Funder's Name: Engineering and Physical Sciences Research Council (EPSRC)
Supervisor's Name: Heng, Professor Ik Siong
Date of Award: 2021
Embargo Date: 4 February 2026
Depositing User: Mr Peter R Wakeford
Unique ID: glathesis:2021-81950
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 04 Feb 2021 08:31
Last Modified: 01 Jun 2021 18:38
Thesis DOI: 10.5525/gla.thesis.81950
URI: https://theses.gla.ac.uk/id/eprint/81950

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