Publisher
Springer Nature Switzerland
Reference27 articles.
1. Arık, S.Ö., Ibragimov, B., Xing, L.: Fully automated quantitative cephalometry using convolutional neural networks. J. Med. Imaging 4(1), 014501–014501 (2017)
2. Lecture Notes in Computer Science;R Chen,2019
3. Downs, W.B.: The role of cephalometrics in orthodontic case analysis and diagnosis. Am. J. Orthod. 38(3), 162–182 (1952). https://doi.org/10.1016/0002-9416(52)90106-1
4. El-Feghi, I., Huang, S., Sid-Ahmed, M., Ahmadi, M.: X-ray image segmentation using auto adaptive fuzzy index measure. In: The 2004 47th Midwest Symposium on Circuits and Systems, MWSCAS 2004, vol. 3, pp. iii–499. IEEE (2004)
5. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770–778 (2016)