Log in to save to my catalogue

Automated detection of enlarged extraocular muscle in Graves’ ophthalmopathy with computed tomograph...

Automated detection of enlarged extraocular muscle in Graves’ ophthalmopathy with computed tomograph...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5d358b77c5364a598f9de58f0361ea1d

Automated detection of enlarged extraocular muscle in Graves’ ophthalmopathy with computed tomography and deep neural network

About this item

Full title

Automated detection of enlarged extraocular muscle in Graves’ ophthalmopathy with computed tomography and deep neural network

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2022-09, Vol.12 (1), p.16036-16036, Article 16036

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

This study aimed to develop a diagnostic software system to evaluate the enlarged extraocular muscles (EEM) in patients with Graves’ ophthalmopathy (GO) by a deep neural network.This prospective observational study involved 371 participants (199 EEM patients with GO and 172 controls with normal extraocular muscles) whose extraocular muscles were ex...

Alternative Titles

Full title

Automated detection of enlarged extraocular muscle in Graves’ ophthalmopathy with computed tomography and deep neural network

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_5d358b77c5364a598f9de58f0361ea1d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5d358b77c5364a598f9de58f0361ea1d

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-022-20279-4

How to access this item