Development and validation of a graph convolutional network (GCN)-based automatic superimposition method for maxillary digital dental models (MDMs).

Journal: The Angle orthodontist

PMID: 39961328

Abstract

OBJECTIVES: To validate the accuracy and reliability of a graph convolutional network (GCN)-based superimposition method of a maxillary digital dental model (MDM) by comparing it with manual superimposition and quantifying the clinical error from this method.

Authors

Yichen Pan
Zhechen Zhang
Tianmin Xu
Gui Chen

Institute of Biotechnology, Jiaxing Academy of Agricultural Science, Jiaxing, China.

Keywords

Humans Image Processing, Computer-Assisted Imaging, Three-Dimensional Maxilla Models, Dental Neural Networks, Computer Reproducibility of Results

External Resources

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Development and validation of a graph convolutional network (GCN)-based automatic superimposition method for maxillary digital dental models (MDMs).

Abstract

Authors

Keywords

External Resources

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