Applying deep learning to recognize the properties of vitreous opacity in ophthalmic ultrasound imag...
Applying deep learning to recognize the properties of vitreous opacity in ophthalmic ultrasound images
About this item
Full title
Author / Creator
Feng, Li , Zhang, Yanzhu , Wei, Wei , Qiu, Hui and Shi, Mingyu
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
Background
To explore the feasibility of artificial intelligence technology based on deep learning to automatically recognize the properties of vitreous opacities in ophthalmic ultrasound images.
Methods
A total of 2000 greyscale Doppler ultrasound images containing non-pathological eye and three typical vitreous opacities confirmed as phy...
Alternative Titles
Full title
Applying deep learning to recognize the properties of vitreous opacity in ophthalmic ultrasound images
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10810903
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10810903
Other Identifiers
ISSN
0950-222X,1476-5454
E-ISSN
1476-5454
DOI
10.1038/s41433-023-02705-7
