Improved Detection Accuracy of Chronic Vertebral Compression Fractures by Integrating Height Loss Ratio and Deep Learning Approaches
Our study highlights the limitations of the HLR method in detecting chronic VCFs and demonstrates the improved performance of combining HLR with DL models.
Authors
- Heejun Park (ORCID: https://orcid.org/0000-0001-8250-1690)
- Woo Young Kang (ORCID: https://orcid.org/0000-0002-8507-1363)
- Jemyoung Lee (ORCID: https://orcid.org/0000-0001-7248-3652)
- Ok Hee Woo (ORCID: https://orcid.org/0000-0003-3953-933X)
- Zepa Yang (ORCID: https://orcid.org/0000-0001-8089-7396)
- Jong Hyo Kim
Institutions
- Seoul National University (KR)
- Korea University Medical Center (KR)
- Seoul National University Hospital (KR)
- Paulsson (United States) (US)
- Advanced Institute of Convergence Technology (KR)
Publication Details
- Journal
- Diagnostics
- Published
- 2024-11-06
- DOI
- https://doi.org/10.3390/diagnostics14222477
- Citations
- 4
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.74
Funders
- Korea Food and Drug Administration