Clinical Feasibility of Deep Learning-Based Automatic Whole Head CBCT Image Segmentation and Landmark Digitization in Computer-Aided Surgical Simulation for Orthognathic Surgery

Reference

H.H. Deng, Q. Liu, A. Chen, T. Kuang, P. Yuan, J. Gateno, D. Kim, J.C. Barber, K.G. Xiong, P. Yu, K.J. Gu, X. Xu, P. Yan, D. Shen, J.J. Xia, " Clinical Feasibility of Deep Learning-Based Automatic Whole Head CBCT Image Segmentation and Landmark Digitization in Computer-Aided Surgical Simulation for Orthognathic Surgery ,"

International Journal of Oral & Maxillofacial Surgery, Vol. 52, No. 7, pp. 793-800 (2023)

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Bibtex

@article{DENG2023,
title = {Clinical feasibility of deep learning-based automatic head CBCT image segmentation and landmark detection in computer-aided surgical simulation for orthognathic surgery},
journal = {International Journal of Oral and Maxillofacial Surgery},
volume = {52},
number = {7},
pages = {793-800},
year = {2023},
doi = {https://doi.org/10.1016/j.ijom.2022.10.010},
url = {https://www.sciencedirect.com/science/article/pii/S0901502722004258},
author = {H.H. Deng and Q. Liu and A. Chen and T. Kuang and P. Yuan and J. Gateno and D. Kim and J.C. Barber and K.G. Xiong and P. Yu and K.J. Gu and X. Xu and P. Yan and D. Shen and J.J. Xia},
}