Development and validation of deep learning models for identifying the brand of pedicle screws on pl...
Development and validation of deep learning models for identifying the brand of pedicle screws on plain spine radiographs
About this item
Full title
Author / Creator
Publisher
Hoboken, USA: John Wiley & Sons, Inc
Journal title
Language
English
Formats
Publication information
Publisher
Hoboken, USA: John Wiley & Sons, Inc
Subjects
More information
Scope and Contents
Contents
Background
In spinal revision surgery, previous pedicle screws (PS) may need to be replaced with new implants. Failure to accurately identify the brand of PS‐based instrumentation preoperatively may increase the risk of perioperative complications. This study aimed to develop and validate an optimal deep learning (DL) model to identify the brand...
Alternative Titles
Full title
Development and validation of deep learning models for identifying the brand of pedicle screws on plain spine radiographs
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_41ed4864cd454a07a37d21aa93005158
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_41ed4864cd454a07a37d21aa93005158
Other Identifiers
ISSN
2572-1143
E-ISSN
2572-1143
DOI
10.1002/jsp2.70001
