A deep-learning model for identifying fresh vertebral compression fractures on digital radiography
A deep-learning model for identifying fresh vertebral compression fractures on digital radiography
About this item
Full title
Author / Creator
Chen, Weijuan , Liu, Xi , Li, Kunhua , Luo, Yin , Bai, Shanwei , Wu, Jiangfen , Chen, Weidao , Dong, Mengxing and Guo, Dajing
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
Objectives
To develop a deep-learning (DL) model for identifying fresh VCFs from digital radiography (DR), with magnetic resonance imaging (MRI) as the reference standard.
Methods
Patients with lumbar VCFs were retrospectively enrolled from January 2011 to May 2020. All patients underwent DR and MRI scanning. VCFs were categorized as fresh...
Alternative Titles
Full title
A deep-learning model for identifying fresh vertebral compression fractures on digital radiography
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2627261980
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2627261980
Other Identifiers
ISSN
0938-7994
E-ISSN
1432-1084
DOI
10.1007/s00330-021-08247-4
