An Open-Source Deep Learning Algorithm for Efficient and Fully Automatic Analysis of the Choroid in Optical Coherence Tomography-Reference-Cited by-同舟云学术

An Open-Source Deep Learning Algorithm for Efficient and Fully Automatic Analysis of the Choroid in Optical Coherence Tomography

Published:2023-11-21 Issue:11 Volume:12 Page:27
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Burke Jamie¹,Engelmann Justin²³,Hamid Charlene⁴,Reid-Schachter Megan⁴,Pearson Tom⁵,Pugh Dan⁶,Dhaun Neeraj⁶,Storkey Amos⁷,King Stuart¹,MacGillivray Tom J.⁴⁸,Bernabeu Miguel O.³⁹,MacCormick Ian J. C.⁷¹⁰

Affiliation:

1. School of Mathematics, University of Edinburgh, Edinburgh, UK

2. School of Informatics, University of Edinburgh, Edinburgh, UK

3. Centre for Medical Informatics, University of Edinburgh, Edinburgh, UK

4. Clinical Research Facility and Imaging, University of Edinburgh, Edinburgh, UK

5. University Hospital Wales, NHS Wales, Cardiff, Wales, UK

6. British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK

7. Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, Edinburgh, UK

8. Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK

9. The Bayes Centre, University of Edinburgh, Edinburgh, UK

10. Centre for Inflammation Research, The Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

Reference38 articles.

1. State of science: choroidal thickness and systemic health;Tan;Surv Ophthalmol,2016

2. Chorioretinal thinning in chronic kidney disease links to inflammation and endothelial dysfunction;Balmforth;JCI Insight,2016

3. Choroidal structural analysis in Alzheimer disease, mild cognitive impairment, and cognitively healthy controls;Robbins;Am J Ophthalmol,2021

4. An update on choroidal layer segmentation methods in optical coherence tomography images: a review;Eghtedar;J Biomed Phys Eng,2022

5. Automatic choroid layer segmentation using normalized graph cut;Masood;IET Image Process,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Choroidalyzer: An Open-Source, End-to-End Pipeline for Choroidal Analysis in Optical Coherence Tomography;Investigative Ophthalmology & Visual Science;2024-06-04