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相关概念视频

Teeth01:15

Teeth

413
The formation of teeth, also known as odontogenesis, is a complex process that begins in utero, around the sixth week of embryonic development. There are three stages to this process: the bud stage, the cap stage, and the bell stage.
In the bud stage, the tooth germ (an aggregation of cells) starts to form in the developing jawbone. During the cap stage, the tooth germ differentiates into enamel organ, dental papilla, and dental sac, which will later develop into the tooth's enamel, dentin...
413

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相关实验视频

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Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
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DilatedToothSegNet:通过增加感受视觉,在3D牙网上建立牙细分网络.

Lucas Krenmayr1,2, Reinhold von Schwerin3, Daniel Schaudt3

  • 1Cooperative Doctoral Program for Data Science and Analytics, Ulm University and University of Applied Sciences, Ulm, 89075, Germany. lucas.krenmayr@uni-ulm.de.

Journal of imaging informatics in medicine
|March 5, 2024
PubMed
概括

这项研究引入了扩展边缘卷积,以改善3D牙科模型细分,提高了计算机辅助牙科中缺失或错位牙的准确性. 新方法的性能优于Teeth3DS数据集中的现有技术.

关键词:
三维深度学习是3D的.3D牙科模型 3D牙科模型几何深度学习的几何深度学习图表神经网络的神经网络牙细分是指牙的细分.

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Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment
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科学领域:

  • 计算机辅助牙科 计算机辅助牙科
  • 几何深度学习的几何深度学习
  • 3D表面细分3D表面细分

背景情况:

  • 从口腔内扫描器获得的3D牙科模型对于计算机辅助的治疗规划至关重要.
  • 手动对牙科模型进行细分和标记是耗时且容易出现错误的.
  • 现有的深度学习方法与非典型的牙解剖学,缺失的牙或严重的错位扎.

研究的目的:

  • 开发一种用于精确细分3D牙表面模型的自动化方法.
  • 为解决当前对具有挑战性的牙科病例的深度学习方法的局限性.
  • 为了提高牙科模型处理的效率和精度,用于正统牙科和牙科应用.

主要方法:

  • 引入了一种新型网络运营商:扩展边缘卷积.
  • 网络接收场的扩展以捕捉更遥远的特征.
  • 广泛的评估使用Teeth3DS基准数据集进行定量和定性分析.

主要成果:

  • 扩展边缘卷积显著提高了网络学习复杂特征的能力.
  • 改进了细分精度,特别是在缺失或错位牙的情况下.
  • 在定量和定性评估中表现出优于最先进的方法的优势.

结论:

  • 拟议的扩张边缘卷积方法为3D牙表面细分提供了卓越的性能.
  • 这一进步可以导致更有效,更准确的计算机辅助治疗规划在牙科和正牙科.
  • 该方法对处理复杂和多样化的患者特定的牙科数据充满希望.