Automated diagnosis and grading of lumbar intervertebral disc degeneration based on a modified YOLO framework
The proposed model demonstrated a relatively high diagnostic and classification performance and exhibited considerable consistency with expert evaluation.
Authors
- Congying Zou (ORCID: https://orcid.org/0009-0001-5268-3638)
- Ning Fan (ORCID: https://orcid.org/0000-0003-0095-9476)
- Lei Zang (ORCID: https://orcid.org/0000-0003-1403-4159)
- Aobo Wang (ORCID: https://orcid.org/0000-0002-3271-1953)
- Zhao Gu
- Xingyu Liu (ORCID: https://orcid.org/0000-0002-9649-189X)
- Shuo Yuan (ORCID: https://orcid.org/0009-0002-0725-5244)
- Ruiyuan Chen (ORCID: https://orcid.org/0000-0002-5891-8717)
- Yiling Zhang (ORCID: https://orcid.org/0009-0003-2623-3232)
- Tianyi Wang (ORCID: https://orcid.org/0000-0002-7923-3717)
- Peijun Du (ORCID: https://orcid.org/0000-0002-2488-2656)
- Fei Qi (ORCID: https://orcid.org/0000-0002-8635-2810)
- Xi Yu (ORCID: https://orcid.org/0000-0001-5750-7003)
- Hongxing Song
Institutions
- Capital Medical University (CN)
- Tsinghua–Berkeley Shenzhen Institute (CN)
- Beijing Friendship Hospital (CN)
- Beijing Shijitan Hospital (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Frontiers in Bioengineering and Biotechnology
- Published
- 2025-01-22
- DOI
- https://doi.org/10.3389/fbioe.2025.1526478
- Citations
- 5
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 3.37