APA (7th ed.) Citation

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 (Basel), 12(1), 64. https://doi.org/10.3390/bioengineering12010064

Chicago Style (17th ed.) Citation

Lee, Jemyoung, Minbeom Kim, Heejun Park, Zepa Yang, Ok Hee Woo, Woo Young Kang, and Jong Hyo Kim. "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 (Basel) 12, no. 1 (2025): 64. https://doi.org/10.3390/bioengineering12010064.

MLA (9th ed.) Citation

Lee, Jemyoung, et al. "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 (Basel), vol. 12, no. 1, 2025, p. 64, https://doi.org/10.3390/bioengineering12010064.