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Automated classification of normal and Stargardt disease optical coherence tomography images using deep learning

Abstract:

PURPOSE:Recent advances in deep learning have seen an increase in its application to automated image analysis in ophthalmology for conditions with a high prevalence. We wanted to identify whether deep learning could be used for the automated classification of optical coherence tomography (OCT) images from patients with Stargardt disease (STGD) using a smaller dataset than traditionally used. METHODS:Sixty participants with STGD and 33 participants with a normal retinal OCT were selected, and ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1111/aos.14353

Authors


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Role:
Author
ORCID:
0000-0001-7496-6121
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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
OHSRC part of Oxford Hospitals Charity More from this funder
Publisher:
Wiley Publisher's website
Journal:
Acta Ophthalmologica Journal website
Volume:
98
Issue:
6
Pages:
e715-e721
Publication date:
2020-01-24
Acceptance date:
2019-12-23
DOI:
EISSN:
1755-3768
ISSN:
1755-375X
Pmid:
31981283
Language:
English
Keywords:
Pubs id:
1086095
Local pid:
pubs:1086095
Deposit date:
2020-03-12

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