Fully Automated Deep Learning-Based Lenke Classification for Adolescent Idiopathic Scoliosis Using Multi-View Full-Spine Radiographs: Development and Clinical Validation.
- DOI
- 10.1177/21925682261488408
- Published
- 2026 Sep 25
- Container
- Global spine journal
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1177/21925682261488408,
title = {Fully Automated Deep Learning-Based Lenke Classification for Adolescent Idiopathic Scoliosis Using Multi-View Full-Spine Radiographs: Development and Clinical Validation.},
author = {Xu S and Xu Y and Meng X},
year = {2026},
journal = {Global spine journal},
doi = {10.1177/21925682261488408},
url = {https://doi.org/10.1177/21925682261488408}
}RIS
TY - JOUR TI - Fully Automated Deep Learning-Based Lenke Classification for Adolescent Idiopathic Scoliosis Using Multi-View Full-Spine Radiographs: Development and Clinical Validation. AU - Xu S AU - Xu Y AU - Meng X PY - 2026 JO - Global spine journal DO - 10.1177/21925682261488408 UR - https://doi.org/10.1177/21925682261488408 ER -
APA
S, X., Y, X., & X, M. (2026). Fully Automated Deep Learning-Based Lenke Classification for Adolescent Idiopathic Scoliosis Using Multi-View Full-Spine Radiographs: Development and Clinical Validation.. Global spine journal. https://doi.org/10.1177/21925682261488408
Source records
- pubmed · retrieved 2026-09-26T11:15:30.712Z