Predicting the Biomechanical Strength of Proximal Femur Specimens through High Dimensional Geometric Features and Support Vector Regression.

MLA

Yang, Chien-Chun, et al. “Predicting the Biomechanical Strength of Proximal Femur Specimens through High Dimensional Geometric Features and Support Vector Regression.” Proceedings of SPIE--the International Society for Optical Engineering, vol. 8672, Mar. 2013. EBSCOhost, https://doi.org/10.1117/12.2006265.

APA

Yang, C.-C., Nagarajan, M. B., Huber, M. B., Carballido-Gamio, J., Bauer, J. S., Baum, T., Eckstein, F., Lochmüller, E., Majumdar, S., Link, T. M., & Wismüller, A. (2013). Predicting the Biomechanical Strength of Proximal Femur Specimens through High Dimensional Geometric Features and Support Vector Regression. Proceedings of SPIE--the International Society for Optical Engineering, 8672. https://doi.org/10.1117/12.2006265

Chicago

Yang, Chien-Chun, Mahesh B Nagarajan, Markus B Huber, Julio Carballido-Gamio, Jan S Bauer, Thomas Baum, Felix Eckstein, et al. 2013. “Predicting the Biomechanical Strength of Proximal Femur Specimens through High Dimensional Geometric Features and Support Vector Regression.” Proceedings of SPIE--the International Society for Optical Engineering 8672 (March). doi:10.1117/12.2006265.