Multi-pose-based convolutional neural network model for diagnosis of patients with central lumbar sp...
Multi-pose-based convolutional neural network model for diagnosis of patients with central lumbar spinal stenosis
About this item
Full title
Author / Creator
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
Although the role of plain radiographs in diagnosing lumbar spinal stenosis (LSS) has declined in importance since the advent of magnetic resonance imaging (MRI), diagnostic ability of plain radiographs has improved dramatically when combined with deep learning. Previously, we developed a convolutional neural network (CNN) model using a radiograph...
Alternative Titles
Full title
Multi-pose-based convolutional neural network model for diagnosis of patients with central lumbar spinal stenosis
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_22e451e0be794d64ae584eeb9d6a32d0
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_22e451e0be794d64ae584eeb9d6a32d0
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-023-50885-9
