[1]谢其钦,刘石坚,陈洁,等.Teeth-Simplification:一种面向牙齿分割的性能提升方案[J].福建理工大学学报,2025,23(04):367-373.[doi:10.3969/j.issn.2097-3853.2025.04.009]
　XIE Qiqin,LIU Shijian,CHEN Jie,et al.Teeth-Simplification: a performance improvement scheme for tooth segmentation[J].Journal of Fujian University of Technology;,2025,23(04):367-373.[doi:10.3969/j.issn.2097-3853.2025.04.009]
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Teeth-Simplification:一种面向牙齿分割的性能提升方案()
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《福建理工大学学报》[ISSN:2097-3853/CN:35-1351/Z]

卷:
第23卷
期数:
2025年04期
页码:
367-373
栏目:
出版日期:
2025-08-25

文章信息/Info

Title:
Teeth-Simplification: a performance improvement scheme for tooth segmentation
作者:
谢其钦; 刘石坚; 陈洁; 邹峥
（福建理工大学计算机科学与数学学院）福建省大数据挖掘与应用技术重点实验室
Author(s):
XIE Qiqin;  LIU Shijian;  CHEN Jie;  ZOU Zheng
School of Computer Science and Mathematics, Fujian University of Technology
关键词:
三角网格; 深度学习; 简化算法; 牙齿分割
Keywords:
triangular mesh;  deep learning;  mesh simplification;  tooth segmentation
分类号:
TP301
DOI:
10.3969/j.issn.2097-3853.2025.04.009
文献标志码:
A
摘要:
在口腔医学领域,精确的牙齿分割对于计算机辅助诊断和治疗规划极为关键。针对简化算法带来的几何误差和标签误差,提出一套名为Teeth-Simplification 的策略,用于提升和评价牙齿分割性能。Teeth-Simplification 策略包括一种基于保边界的简化算法、一种基于维度映射的标签转换策略和一种非对称精度的性能评价体系。基于公共数据集3DTeethSeg 的实验表明,Teeth-Simplification 策略适应于MeshSegNet、TSGCNet、SGTNet 和GACNet 等网格分割方法,边界DCD 误差值分别降低73.68%、64.63%、21.15%和33.33%,有效提升了牙齿分割性能。
Abstract:
In the field of oral medicine, accurate tooth segmentation is crucial for computer-aided diagnosis and treatment planning. To address the geometric and labeling errors introduced by simplified algorithms, a strategy called Tooth-Simplification is proposed to improve and evaluate the performance of tooth segmentation. It includes a simplified algorithm based on preserving boundaries, a label conversion strategy based on dimension mapping, and a performance evaluation system with asymmetric resolution. Experiments based on the public dataset 3DTeethSeg show that the Teeth-Simplification strategy is adaptable to mesh segmentation methods such as MeshSegNet, TSGCNet, SGTNet, and GACNet, with boundary DCD error values reduced by 73.68%, 64.63%, 21.15%, and 33.33% respectively, effectively improving the performance of tooth segmentation.

参考文献/References:

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更新日期/Last Update: 2025-08-25