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Tooth Mesh Segmentation with GCN-SA by ali zin is a document available to read on EtoBox.

What is Tooth Mesh Segmentation with GCN-SA about?

The document presents a novel method called TSGCN-SA for segmenting individual teeth from dental triangular meshes using a two-stream Graph Convolutional Network enhanced with self-attention mechanisms. This approach improves global feature extraction and adaptive feature fusion, demonstrating superior performance over existing methods in experiments with the 3DTeethSeg dataset. The study highlights the significance of effective segmentation in clinical applications such as orthodontics and dental implants.

Author

ali zin

Language

EN