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Deep learning segmentation of hyperautofluorescent fleck lesions in Stargardt disease

Deep learning segmentation of hyperautofluorescent fleck lesions in Stargardt disease

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7536408

Deep learning segmentation of hyperautofluorescent fleck lesions in Stargardt disease

About this item

Full title

Deep learning segmentation of hyperautofluorescent fleck lesions in Stargardt disease

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2020-10, Vol.10 (1), p.16491-16491, Article 16491

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Stargardt disease is one of the most common forms of inherited retinal disease and leads to permanent vision loss. A diagnostic feature of the disease is retinal flecks, which appear hyperautofluorescent in fundus autofluorescence (FAF) imaging. The size and number of these flecks increase with disease progression. Manual segmentation of flecks all...

Alternative Titles

Full title

Deep learning segmentation of hyperautofluorescent fleck lesions in Stargardt disease

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7536408

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7536408

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-020-73339-y

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