Log in to save to my catalogue

Automated deep learning-based AMD detection and staging in real-world OCT datasets (PINNACLE study r...

Automated deep learning-based AMD detection and staging in real-world OCT datasets (PINNACLE study r...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3332971330e442398e301671d3f110df

Automated deep learning-based AMD detection and staging in real-world OCT datasets (PINNACLE study report 5)

About this item

Full title

Automated deep learning-based AMD detection and staging in real-world OCT datasets (PINNACLE study report 5)

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2023-11, Vol.13 (1), p.19545-19545, Article 19545

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Real-world retinal optical coherence tomography (OCT) scans are available in abundance in primary and secondary eye care centres. They contain a wealth of information to be analyzed in retrospective studies. The associated electronic health records alone are often not enough to generate a high-quality dataset for clinical, statistical, and machine...

Alternative Titles

Full title

Automated deep learning-based AMD detection and staging in real-world OCT datasets (PINNACLE study report 5)

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3332971330e442398e301671d3f110df

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3332971330e442398e301671d3f110df

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-023-46626-7

How to access this item