APA (7th ed.) Citation

Chen, S., Wang, L., Li, G., Wu, T., Diachina, S., Tejera, B., . . . Ko, C. (2020). Machine Learning in Orthodontics: Introducing a 3d Auto-segmentation and Auto-landmark Finder of Cbct Images To Assess Maxillary Constriction in Unilateral Impacted Canine patients. The Angle orthodontist, 90(1), 77-84. https://doi.org/10.2319/012919-59.1

Chicago Style (17th ed.) Citation

Chen, Si, et al. "Machine Learning in Orthodontics: Introducing a 3d Auto-segmentation and Auto-landmark Finder of Cbct Images To Assess Maxillary Constriction in Unilateral Impacted Canine Patients." The Angle Orthodontist 90, no. 1 (2020): 77-84. https://doi.org/10.2319/012919-59.1.

MLA (9th ed.) Citation

Chen, Si, et al. "Machine Learning in Orthodontics: Introducing a 3d Auto-segmentation and Auto-landmark Finder of Cbct Images To Assess Maxillary Constriction in Unilateral Impacted Canine Patients." The Angle Orthodontist, vol. 90, no. 1, 2020, pp. 77-84, https://doi.org/10.2319/012919-59.1.