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Wide-field OCT volumetric segmentation using semi-supervised CNN and transformer integration

Wide-field OCT volumetric segmentation using semi-supervised CNN and transformer integration

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_516f5b73a235445287b0beb6d46c088a

Wide-field OCT volumetric segmentation using semi-supervised CNN and transformer integration

About this item

Full title

Wide-field OCT volumetric segmentation using semi-supervised CNN and transformer integration

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2025-02, Vol.15 (1), p.6676-13, Article 6676

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Wide-field optical coherence tomography (OCT) imaging can enable monitoring of peripheral changes in the retina, beyond the conventional fields of view used in current clinical OCT imaging systems. However, wide-field scans can present significant challenges for retinal layer segmentation. Deep Convolutional Neural Networks (CNNs) have shown strong...

Alternative Titles

Full title

Wide-field OCT volumetric segmentation using semi-supervised CNN and transformer integration

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_516f5b73a235445287b0beb6d46c088a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_516f5b73a235445287b0beb6d46c088a

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-025-89476-1

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