Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial int...
Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence
About this item
Full title
Author / Creator
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
Objectives
To assess the role of artificial intelligence (AI)-based automated software for detection of diabetic retinopathy (DR) and sight-threatening DR (STDR) by fundus photography taken using a smartphone-based device and validate it against ophthalmologist’s grading.
Methods
Three hundred and one patients with type 2 diabetes underwen...
Alternative Titles
Full title
Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5997766
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5997766
Other Identifiers
ISSN
0950-222X
E-ISSN
1476-5454
DOI
10.1038/s41433-018-0064-9
