Development and clinical validation of a deep learning-based knee CT image segmentation method for robotic-assisted total knee arthroplasty.

MLA

Liu, Xingyu, et al. “Development and Clinical Validation of a Deep Learning-Based Knee CT Image Segmentation Method for Robotic-Assisted Total Knee Arthroplasty.” The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS, vol. 20, no. 4, Aug. 2024, p. e2664. EBSCOhost, https://doi.org/10.1002/rcs.2664.

APA

Liu, X., Li, S., Zou, X., Chen, X., Xu, H., Yu, Y., Gu, Z., Liu, D., Li, R., Wu, Y., Wang, G., Liao, H., Qian, W., & Zhang, Y. (2024). Development and clinical validation of a deep learning-based knee CT image segmentation method for robotic-assisted total knee arthroplasty. The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS, 20(4), e2664. https://doi.org/10.1002/rcs.2664

Chicago

Liu, Xingyu, Songlin Li, Xiongfei Zou, Xi Chen, Hongjun Xu, Yang Yu, Zhao Gu, et al. 2024. “Development and Clinical Validation of a Deep Learning-Based Knee CT Image Segmentation Method for Robotic-Assisted Total Knee Arthroplasty.” The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS 20 (4): e2664. doi:10.1002/rcs.2664.