Estimating Reference Bony Shape Models for Orthognathic Surgical Planning Using 3D Point-Cloud Deep Learning

Orthognathic surgical outcomes rely heavily on the quality of surgical planning. Automatic estimation of a reference facial bone shape significantly reduces experience-dependent variability and improves planning accuracy and efficiency. We propose an end-to-end deep learning framework to estimate pa...

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Dettagli Bibliografici
Pubblicato in:IEEE J Biomed Health Inform
Autori principali: Xiao, Deqiang, Lian, Chunfeng, Deng, Hannah, Kuang, Tianshu, Liu, Qin, Ma, Lei, Kim, Daeseung, Lang, Yankun, Chen, Xu, Gateno, Jaime, Shen, Steve Guofang, Xia, James J., Yap, Pew-Thian
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2021
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Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC8310896/
https://ncbi.nlm.nih.gov/pubmed/33497345
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/JBHI.2021.3054494
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