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GNN selected studies.
| Authors Name and Year | Methods | Results | Authors Suggestions/ Conclusions |
|---|---|---|---|
| Zhang et al., (2021) [102] | PointNet, DGCNN, PointNet++, PointCNN, MeshSegNet | Accuracy = 95.25, mIoU = 88.99 | TSGCNet cannot robustly handle special cases with 12 teeth. |
| Zheng et al., (2022) [103] | Modified Dynamic Graph CNN (DGCNN) | mIoU = 97.49, accuracy = 98.94 | The proposed teeth segmentation is robust to rotten, missing, crowded, and ectopic-tooth cases. |
