Deep learning model for the automated detection and classification of central canal and neural foraminal stenosis upon cervical spine magnetic resonance imaging
The DL model demonstrated comparable performance with subspecialist radiologists for the detection and classification of central canal and neural foraminal stenosis on cervical spine MRI. Moreover, the DL model demonstrated significant timesaving ability.
Authors
- Ning Lang (ORCID: https://orcid.org/0000-0003-1860-2918)
- Enlong Zhang (ORCID: https://orcid.org/0000-0002-7012-1081)
- Yongye Chen (ORCID: https://orcid.org/0000-0002-7120-2166)
- Gongwei Chen (ORCID: https://orcid.org/0000-0002-0634-6075)
- Hanqiang Ouyang (ORCID: https://orcid.org/0000-0001-8397-6567)
- Xiaoying Xing
- Huishu Yuan (ORCID: https://orcid.org/0000-0002-5320-4360)
- Weili Zhao (ORCID: https://orcid.org/0009-0009-5633-5700)
- Xinhang Song (ORCID: https://orcid.org/0000-0002-0895-1076)
- Qizheng Wang (ORCID: https://orcid.org/0000-0001-9126-8050)
- Shuqiang Jiang (ORCID: https://orcid.org/0000-0002-1596-4326)
- Yuan Li (ORCID: https://orcid.org/0000-0002-6804-0792)
- Ke Liu (ORCID: https://orcid.org/0000-0002-1976-2297)
- Fanyu Meng (ORCID: https://orcid.org/0000-0001-6549-410X)
- Yan Zhou
- Liang Jiang (ORCID: https://orcid.org/0000-0002-4289-4319)
- Meiyi Yao
Institutions
- Chinese Academy of Sciences (CN)
- Peking University (CN)
- Institute of Computing Technology (CN)
- Peking University Third Hospital (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2024-11-26
- DOI
- https://doi.org/10.1186/s12880-024-01489-w
- Citations
- 5
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.92
Funders
- National Natural Science Foundation of China
- Peking University
- Peking University Third Hospital
- Fundamental Research Funds for the Central Universities