[Value of a CT angiography-based deep learning model for differentiating SVS grade Ⅱ and grade Ⅲ blunt thoracic aortic injury: a retrospective multicenter staged study].
- DOI
- 10.3760/cma.j.cn112139-20260730-00329
- Published
- 2026 Sep 21
- Container
- Zhonghua wai ke za zhi [Chinese journal of surgery]
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3760/cma.j.cn112139-20260730-00329,
title = {[Value of a CT angiography-based deep learning model for differentiating SVS grade Ⅱ and grade Ⅲ blunt thoracic aortic injury: a retrospective multicenter staged study].},
author = {Sun Y and Liang Y and Cao Y and Zhou BN and He HH and Yuan D and Zhou XH and Xiong J},
year = {2026},
journal = {Zhonghua wai ke za zhi [Chinese journal of surgery]},
doi = {10.3760/cma.j.cn112139-20260730-00329},
url = {https://doi.org/10.3760/cma.j.cn112139-20260730-00329}
}RIS
TY - JOUR TI - [Value of a CT angiography-based deep learning model for differentiating SVS grade Ⅱ and grade Ⅲ blunt thoracic aortic injury: a retrospective multicenter staged study]. AU - Sun Y AU - Liang Y AU - Cao Y AU - Zhou BN AU - He HH AU - Yuan D AU - Zhou XH AU - Xiong J PY - 2026 JO - Zhonghua wai ke za zhi [Chinese journal of surgery] DO - 10.3760/cma.j.cn112139-20260730-00329 UR - https://doi.org/10.3760/cma.j.cn112139-20260730-00329 ER -
APA
Y, S., Y, L., Y, C., BN, Z., HH, H., D, Y., XH, Z., & J, X. (2026). [Value of a CT angiography-based deep learning model for differentiating SVS grade Ⅱ and grade Ⅲ blunt thoracic aortic injury: a retrospective multicenter staged study].. Zhonghua wai ke za zhi [Chinese journal of surgery]. https://doi.org/10.3760/cma.j.cn112139-20260730-00329
Source records
- pubmed · retrieved 2026-09-26T12:44:54.369Z