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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.

Evaluation of 2D and 3D deep learning approaches for predicting visual acuity following surgery for idiopathic full-thickness macular holes in spectral domain optical coherence tomography images

Lookup NU author(s): Dr Burak Kucukgoz, Dr Mutlu Yapici, 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 M, Steel DH, Obara B

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: International Symposium on Image and Signal Processing and Analysis (ISPA 2023)

Year of Conference: 2023

Online publication date: 19/10/2023

Acceptance date: 30/08/2023

Date deposited: 05/09/2023

ISSN: 1849-2266

Publisher: IEEE

URL: https://doi.org/10.1109/ISPA58351.2023.10279422

DOI: 10.1109/ISPA58351.2023.10279422

ePrints DOI: 10.57711/n3x4-xc14


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