An Automated Method of 3D Facial Soft Tissue Landmark Prediction Based on Object Detection and Deep Learning

Background: Three-dimensional facial soft tissue landmark prediction is an important tool in dentistry, for which several methods have been developed in recent years, including a deep learning algorithm which relies on converting 3D models into 2D maps, which results in the loss of information and p...

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Detalles Bibliográficos
Autores principales: Zhang, Yuchen, Xu, Yifei, Zhao, Jiamin, Du, Tianjing, Li, Dongning, Zhao, Xinyan, Wang, Jinxiu, Li, Chen, Tu, Junbo, Qi, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252224/
https://www.ncbi.nlm.nih.gov/pubmed/37296704
http://dx.doi.org/10.3390/diagnostics13111853

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252224/
https://www.ncbi.nlm.nih.gov/pubmed/37296704
http://dx.doi.org/10.3390/diagnostics13111853

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