Lee, J.; Kim, M.; Park, H.; Yang, Z.; Woo, O.H.; Kang, W.Y.; Kim, J.H.
Enhanced Detection Performance of Acute Vertebral Compression Fractures Using a Hybrid Deep Learning and Traditional Quantitative Measurement Approach: Beyond the Limitations of Genant Classification. Bioengineering 2025, 12, 64.
https://doi.org/10.3390/bioengineering12010064
AMA Style
Lee J, Kim M, Park H, Yang Z, Woo OH, Kang WY, Kim JH.
Enhanced Detection Performance of Acute Vertebral Compression Fractures Using a Hybrid Deep Learning and Traditional Quantitative Measurement Approach: Beyond the Limitations of Genant Classification. Bioengineering. 2025; 12(1):64.
https://doi.org/10.3390/bioengineering12010064
Chicago/Turabian Style
Lee, Jemyoung, Minbeom Kim, Heejun Park, Zepa Yang, Ok Hee Woo, Woo Young Kang, and Jong Hyo Kim.
2025. "Enhanced Detection Performance of Acute Vertebral Compression Fractures Using a Hybrid Deep Learning and Traditional Quantitative Measurement Approach: Beyond the Limitations of Genant Classification" Bioengineering 12, no. 1: 64.
https://doi.org/10.3390/bioengineering12010064
APA Style
Lee, J., Kim, M., Park, H., Yang, Z., Woo, O. H., Kang, W. Y., & Kim, J. H.
(2025). Enhanced Detection Performance of Acute Vertebral Compression Fractures Using a Hybrid Deep Learning and Traditional Quantitative Measurement Approach: Beyond the Limitations of Genant Classification. Bioengineering, 12(1), 64.
https://doi.org/10.3390/bioengineering12010064
