Deep learning-based automated detection for diabetic retinopathy and diabetic macular oedema in reti...
Deep learning-based automated detection for diabetic retinopathy and diabetic macular oedema in retinal fundus photographs
About this item
Full title
Author / Creator
Li, Feng , Wang, Yuguang , Xu, Tianyi , Dong, Lin , Yan, Lei , Jiang, Minshan , Zhang, Xuedian , Jiang, Hong , Wu, Zhizheng and Zou, Haidong
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 present and validate a deep ensemble algorithm to detect diabetic retinopathy (DR) and diabetic macular oedema (DMO) using retinal fundus images.
Methods
A total of 8739 retinal fundus images were collected from a retrospective cohort of 3285 patients. For detecting DR and DMO, a multiple improved Inception-v4 ensembling appr...
Alternative Titles
Full title
Deep learning-based automated detection for diabetic retinopathy and diabetic macular oedema in retinal fundus photographs
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9232645
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9232645
Other Identifiers
ISSN
0950-222X
E-ISSN
1476-5454
DOI
10.1038/s41433-021-01552-8
