Oct 29, 2022 · In this paper, we propose a novel method based on 3D transformer architectures that is evaluated with large-scale and high-resolution 3D IOS datasets.
TFormer: 3D Tooth Segmentation in Mesh Scans with Geometry Guided ...
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In this paper, we propose a novel method based on 3D transformer architectures that is evaluated with large-scale and high-resolution 3D IOS datasets. Our ...
The paper presents TSegFormer, a multi-task 3D transformer architecture for tooth segmentation in Optical Intraoral Scanners (IOS) point clouds.
Nov 22, 2023 · In this paper, we propose TSegFormer which captures both local and global dependencies among different teeth and the gingiva in the IOS point clouds.
Missing: TFormer: Mesh
TSegFormer is a novel 3D tooth segmentation framework with a tailed 3D transformer and a multi-task learning paradigm.
Oct 8, 2023 · In this paper, we propose TSegFormer which captures both local and global dependencies among different teeth and the gingiva in the IOS point ...
Missing: TFormer: | Show results with:TFormer:
Accurate 3D tooth segmentation, which aims to precisely delineate the tooth and gingiva instances in IOS, plays a critical role in a variety of dental ...
Jul 3, 2023 · Easy-to-read summary of the arXiv paper 2210.16627v1 entitled TFormer: 3D Tooth Segmentation in Mesh Scans with Geometry Guided Transformer.
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What is tooth segmentation?
3D tooth segmentation is an important task for digital orthodontics. Several Deep Learning methods have been proposed for automatic tooth segmentation from 3D ...
TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer · 1 code implementation • 22 Nov 2023 • Huimin Xiong, Kunle Li, Kaiyuan ...