Comprehensive Evaluation of Facet Joints Osteoarthritis Radiological Features on Lumbar <scp>CT</scp>: A Multitask Deep Learning Approach
A multitask DL model is a viable method for assessing the severity of radiological features in FJOA, offering support to readers during image evaluation.
Authors
- Zhihai Su (ORCID: https://orcid.org/0000-0002-0355-1129)
- Sheng Lu (ORCID: https://orcid.org/0000-0001-7532-8981)
- Junzhang Huang (ORCID: https://orcid.org/0009-0000-1017-7297)
- Dongming Leng
- Ziyang Chen (ORCID: https://orcid.org/0000-0003-3077-822X)
- Tao Chen (ORCID: https://orcid.org/0000-0001-9527-1142)
- Yunfei Wang (ORCID: https://orcid.org/0009-0003-4549-2416)
- Qingqing He (ORCID: https://orcid.org/0009-0009-3531-1187)
- Qianjin Feng (ORCID: https://orcid.org/0000-0001-8647-0596)
- Hai Lü (ORCID: https://orcid.org/0000-0002-4212-3282)
- Jiaxin Feng
- Lei Yang (ORCID: https://orcid.org/0000-0002-8573-5588)
- Junjie Lu (ORCID: https://orcid.org/0009-0003-8095-2182)
Institutions
- Kunming University of Science and Technology (CN)
- Harbin Medical University (CN)
- China National Nuclear Corporation (CN)
- Sun Yat-sen University (CN)
- First People's Hospital of Yunnan Province (CN)
- Second People's Hospital of Yunnan Province (CN)
- Fifth Affiliated Hospital of Sun Yat-sen University (CN)
- First Affiliated Hospital of Harbin Medical University (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- JOR Spine
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1002/jsp2.70115
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Fundo para o Desenvolvimento das Ciências e da Tecnologia
- Guangdong Science and Technology Department