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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