Cite
Automating Linear and Angular Measurements for the Hip and Knee After Computed Tomography: Validation of a Three-Stage Deep Learning and Computer Vision-Based Pipeline for Pathoanatomic Assessment.
MLA
Vidhani, Faizaan R., et al. “Automating Linear and Angular Measurements for the Hip and Knee After Computed Tomography: Validation of a Three-Stage Deep Learning and Computer Vision-Based Pipeline for Pathoanatomic Assessment.” Arthroplasty Today, vol. 27, May 2024, p. 101394. EBSCOhost, https://doi.org/10.1016/j.artd.2024.101394.
APA
Vidhani, F. R., Woo, J. J., Zhang, Y. B., Olsen, R. J., & Ramkumar, P. N. (2024). Automating Linear and Angular Measurements for the Hip and Knee After Computed Tomography: Validation of a Three-Stage Deep Learning and Computer Vision-Based Pipeline for Pathoanatomic Assessment. Arthroplasty Today, 27, 101394. https://doi.org/10.1016/j.artd.2024.101394
Chicago
Vidhani, Faizaan R, Joshua J Woo, Yibin B Zhang, Reena J Olsen, and Prem N Ramkumar. 2024. “Automating Linear and Angular Measurements for the Hip and Knee After Computed Tomography: Validation of a Three-Stage Deep Learning and Computer Vision-Based Pipeline for Pathoanatomic Assessment.” Arthroplasty Today 27 (May): 101394. doi:10.1016/j.artd.2024.101394.