APA (7th ed.) Citation

Jo, C., Hwang, D., Ko, S., Yang, M. H., Lee, M. C., Han, H., & Ro, D. H. (2023). Deep learning-based landmark recognition and angle measurement of full-leg plain radiographs can be adopted to assess lower extremity alignment. Knee Surgery, Sports Traumatology, Arthroscopy, 31(4), 1388. https://doi.org/10.1007/s00167-022-07124-x

Chicago Style (17th ed.) Citation

Jo, Changwung, Doohyun Hwang, Sunho Ko, Myung Ho Yang, Myung Chul Lee, Hyuk-Soo Han, and Du Hyun Ro. "Deep Learning-based Landmark Recognition and Angle Measurement of Full-leg Plain Radiographs Can Be Adopted to Assess Lower Extremity Alignment." Knee Surgery, Sports Traumatology, Arthroscopy 31, no. 4 (2023): 1388. https://doi.org/10.1007/s00167-022-07124-x.

MLA (9th ed.) Citation

Jo, Changwung, et al. "Deep Learning-based Landmark Recognition and Angle Measurement of Full-leg Plain Radiographs Can Be Adopted to Assess Lower Extremity Alignment." Knee Surgery, Sports Traumatology, Arthroscopy, vol. 31, no. 4, 2023, p. 1388, https://doi.org/10.1007/s00167-022-07124-x.