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The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Deep Learning Using Preoperative Optical Coherence Tomography Images to Predict Visual Acuity Following Surgery for Idiopathic Full-Thickness Macular Holes

Lookup NU author(s): Dr Burak Kucukgoz, Dr Declan Murphy, Professor David SteelORCiD, Professor Boguslaw ObaraORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Publication metadata

Author(s): Kucukgoz B, Yapici MM, Murphy DC, Spowart E, Steel DH, Obara B

Publication type: Article

Publication status: Published

Journal: IEEE Access

Year: 2024

Volume: 12

Pages: 32911-32926

Online publication date: 26/02/2024

Acceptance date: 18/02/2024

Date deposited: 26/02/2024

ISSN (electronic): 2169-3536

Publisher: IEEE

URL: https://doi.org/10.1109/ACCESS.2024.3369676

DOI: 10.1109/ACCESS.2024.3369676

ePrints DOI: 10.57711/x4cf-v676


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Funding

Funder referenceFunder name
Scientific and Technological Research Council of Turkey
Turkish Ministry of National Education

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