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Deep learning framework for automated goblet cell density analysis in in-vivo rabbit conjunctiva

Deep learning framework for automated goblet cell density analysis in in-vivo rabbit conjunctiva

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_aaa6c29365534adb8125b17f8f9260d4

Deep learning framework for automated goblet cell density analysis in in-vivo rabbit conjunctiva

About this item

Full title

Deep learning framework for automated goblet cell density analysis in in-vivo rabbit conjunctiva

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2023-12, Vol.13 (1), p.22839-22839, Article 22839

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Goblet cells (GCs) in the conjunctiva are specialized epithelial cells secreting mucins for the mucus layer of protective tear film and playing immune tolerance functions for ocular surface health. Because GC loss is observed in various ocular surface diseases, GC examination is important for precision diagnosis. Moxifloxacin-based fluorescence mic...

Alternative Titles

Full title

Deep learning framework for automated goblet cell density analysis in in-vivo rabbit conjunctiva

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_aaa6c29365534adb8125b17f8f9260d4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_aaa6c29365534adb8125b17f8f9260d4

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-023-49275-y

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