Automated identification of retinopathy of prematurity by image-based deep learning
Automated identification of retinopathy of prematurity by image-based deep learning
About this item
Full title
Author / Creator
Tong, Yan , Lu, Wei , Deng, Qin-Qin , Chen, Changzheng and Shen, Yin
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
Subjects
More information
Scope and Contents
Contents
Retinopathy of prematurity (ROP) is a leading cause of childhood blindness worldwide but can be a treatable retinal disease with appropriate and timely diagnosis. This study was performed to develop a robust intelligent system based on deep learning to automatically classify the severity of ROP from fundus images and detect the stage of ROP and pre...
Alternative Titles
Full title
Automated identification of retinopathy of prematurity by image-based deep learning
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_c7b20e24f2f04182848d0ebc4c02d03c
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c7b20e24f2f04182848d0ebc4c02d03c
Other Identifiers
ISSN
2326-0254,2326-0246
E-ISSN
2326-0254
DOI
10.1186/s40662-020-00206-2
