Vertebral body insufficiency fractures: detection of vertebrae at risk on standard CT images using t...
Vertebral body insufficiency fractures: detection of vertebrae at risk on standard CT images using texture analysis and machine learning
About this item
Full title
Author / Creator
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
Purpose
To evaluate the diagnostic performance of bone texture analysis (TA) combined with machine learning (ML) algorithms in standard CT scans to identify patients with vertebrae at risk for insufficiency fractures.
Materials and methods
Standard CT scans of 58 patients with insufficiency fractures of the spine, performed between 2006 an...
Alternative Titles
Full title
Vertebral body insufficiency fractures: detection of vertebrae at risk on standard CT images using texture analysis and machine learning
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2150236032
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2150236032
Other Identifiers
ISSN
0938-7994
E-ISSN
1432-1084
DOI
10.1007/s00330-018-5846-8
