APA (7th ed.) Citation

Lin, H., Zhang, T., Wang, Y., Yang, C., Lo, L., Liao, C., & Kuang, S. (2022). A system for quantifying facial symmetry from 3D contour maps based on transfer learning and fast R-CNN. Journal of Supercomputing, 78(14), 15953. https://doi.org/10.1007/s11227-022-04502-7

Chicago Style (17th ed.) Citation

Lin, Hsiu-Hsia, Tianyi Zhang, Yu-Chieh Wang, Chao-Tung Yang, Lun-Jou Lo, Chun-Hao Liao, and Shih-Ku Kuang. "A System for Quantifying Facial Symmetry from 3D Contour Maps Based on Transfer Learning and Fast R-CNN." Journal of Supercomputing 78, no. 14 (2022): 15953. https://doi.org/10.1007/s11227-022-04502-7.

MLA (9th ed.) Citation

Lin, Hsiu-Hsia, et al. "A System for Quantifying Facial Symmetry from 3D Contour Maps Based on Transfer Learning and Fast R-CNN." Journal of Supercomputing, vol. 78, no. 14, 2022, p. 15953, https://doi.org/10.1007/s11227-022-04502-7.