APA (7th ed.) Citation

J, L., M, K., H, P., Z, Y., OH, W., WY, K., & JH, K. (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, Switzerland), 12(1), . https://doi.org/10.3390/bioengineering12010064

Chicago Style (17th ed.) Citation

J, Lee, Kim M, Park H, Yang Z, Woo OH, Kang WY, and 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 (Basel, Switzerland) 12, no. 1 (2025). https://doi.org/10.3390/bioengineering12010064.

MLA (9th ed.) Citation

J, Lee, 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, Switzerland), vol. 12, no. 1, 2025, https://doi.org/10.3390/bioengineering12010064.