Quantification and classification of lumbar disc herniation on axial magnetic resonance images using deep learning models
The automated aided diagnostic model achieved high performance in detecting and classifying LDH and demonstrated substantial consistency with expert classification.
Authors
- Jintao Yang (ORCID: https://orcid.org/0000-0003-4713-4893)
- Zhihai Su (ORCID: https://orcid.org/0000-0002-0355-1129)
- Kun Zhao (ORCID: https://orcid.org/0000-0003-3928-1981)
- Hai Zhong (ORCID: https://orcid.org/0000-0001-7530-6862)
- Jun Shang
- Shiqing Feng
- Elzat Elham-Yilizati Yilihamu
Institutions
- Shandong University (CN)
- Sun Yat-sen University (CN)
- Xuzhou Medical College (CN)
- Tianjin Medical University General Hospital (CN)
- Second Hospital of Shandong University (CN)
- Fifth Affiliated Hospital of Sun Yat-sen University (CN)
- Qilu Hospital of Shandong University (CN)
Publication Details
- Journal
- La radiologia medica
- Published
- 2025-03-24
- DOI
- https://doi.org/10.1007/s11547-025-01996-y
- Citations
- 3
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.02
Funders
- Natural Science Foundation of Shandong Province