Fully automated landmarking and facial segmentation on 3D photographs

Fully automated landmarking and facial segmentation on 3D photographs

Abstract Three-dimensional facial stereophotogrammetry provides a detailed representation of craniofacial soft tissue without the use of ionizing radiation. While manual annotation of landmarks serves as the current gold standard for cephalometric analysis, it is a time-consuming process and is pron...

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Bibliographic Details
Main Authors: Bo Berends, Freek Bielevelt, Ruud Schreurs, Shankeeth Vinayahalingam, Thomas Maal, Guido de Jong
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Subjects:
Deep learning
DiffusionNet
Cephalometry
Landmarks
3D photogrammetry
3D meshes
Online Access:https://doi.org/10.1038/s41598-024-56956-9

Internet

https://doi.org/10.1038/s41598-024-56956-9

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