TEANet:自动牙提取和安排与牙水平图形空间转换网络
Xiaoshuang Li1, Miri Chung2, Lei Bi3
1Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; School of Computer Science, University of Sydney, Sydney, NSW 2006, Australia; The Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.
Computer methods and programs in biomedicine
|August 1, 2025
概括
一种新的自动化方法,TEANet,改善了对需要拔牙的复杂病例的正牙治疗计划. 这种人工智能驱动的方法提高了牙排列的准确性,为牙科专业人员提供了更强大的解决方案.
科学领域:
- 矯正牙科 矯正牙科是一種矯正牙科.
- 人工智能在牙科中的应用
- 3D医学成像 3D医学成像
背景情况:
- 目前的自动化正牙治疗计划方法与需要拔牙的病例作斗争.
- 使用点云和图形卷积网络 (GCN) 的现有技术对于复杂的提取场景的准确性有限.
研究的目的:
- 开发一种自动化的正牙治疗规划方法,TEANet,能够处理牙提取和排列.
- 为了提高复杂的牙科病例的正牙计划的准确性和效率.
主要方法:
- 提议的牙提取和排列网络 (TEANet) 具有提取的双坐标分类器和排列的自适应图.
- 利用一个节点可删除的自适应图用于GCN中的特征传播和基于学习的3D空间变压器模型.
主要成果:
- TEANet在三个正牙任务上表现出卓越的表现:牙分类,提取分类和牙排列回归.
- 在304个临床病例中进行评估,该方法始终优于现有的最先进的方法.
结论:
- TEANet为正牙治疗规划提供了一个新而强大的框架,特别是在提取病例中.
- 该方法的创新组件,包括自适应图和空间变压器,为复杂的正义牙科病例提供了有效的解决方案.
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