Three-Dimensional Postoperative Results Prediction for Orthognathic Surgery through Deep Learning-Based Alignment Network

To date, for the diagnosis of dentofacial dysmorphosis, we have relied almost entirely on reference points, planes, and angles. This is time consuming, and it is also greatly influenced by the skill level of the practitioner. To solve this problem, we wanted to know if deep neural networks could pre...

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Detalles Bibliográficos
Autores principales: Jeong, Seung Hyun, Woo, Min Woo, Shin, Dong Sun, Yeom, Han Gyeol, Lim, Hun Jun, Kim, Bong Chul, Yun, Jong Pil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225553/
https://www.ncbi.nlm.nih.gov/pubmed/35743782
http://dx.doi.org/10.3390/jpm12060998

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225553/
https://www.ncbi.nlm.nih.gov/pubmed/35743782
http://dx.doi.org/10.3390/jpm12060998

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