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相关概念视频

Teeth01:15

Teeth

406
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...
406
Tooth Anatomy01:21

Tooth Anatomy

461
The human tooth enables us to eat a variety of foods, speak clearly, and even aid in shaping our faces. Teeth are composed of various elements that work together. Here's a detailed look at the anatomy of a human tooth.
The Crown, Neck, and Root
The visible part of the tooth is referred to as the crown. It's covered by enamel, the hardest substance in the human body. The crown is uniquely shaped for each type of tooth, allowing for different functions such as cutting, tearing, or...
461

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相关实验视频

Updated: Jun 29, 2025

Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities
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精确的牙设计使用基于深度学习的模板.

Du Chen1, Mei-Qi Yu1, Qi-Jing Li1

  • 1State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, National Center for Stomatology, West China School of Stomatology, Sichuan University, Chengdu 610041, PR China; Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, PR China.

Journal of dentistry
|March 28, 2024
PubMed
概括
此摘要是机器生成的。

一个新的深度学习 (DL) 模型,ToothDIT,使用个性化的隐性模板准确地恢复牙缺陷. 这种方法提高了假牙数字修复设计的精度.

关键词:
人工智能的人工智能在这里,我们可以看到Cad Cad Cad Cad Cad Cad Cad Cad Cad Cad.牙科的解剖学 牙科的解剖学审美牙科 审美牙科假牙牙科/假牙科 假牙科/假牙科

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相关实验视频

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科学领域:

  • 生物医学工程 生物医学工程
  • 计算机科学 计算机科学
  • 牙科材料 牙科材料

背景情况:

  • 传统的计算机辅助设计 (CAD) 在假牙方面面临着时间消耗和恢复牙形状的准确性方面的挑战.
  • 精确的形态修复对于牙科假肢的功能和美学结果至关重要.

研究的目的:

  • 开发和验证一个深度学习 (DL) 模型,用于精确的,个性化的牙缺陷修复在假牙手术中.
  • 与现有的形态修复方法相比,评估基于DL的新方法的准确性.

主要方法:

  • 一个DL模型,ToothDIT,在80个大切口模型上受过训练,以创建一个隐式模板和预测神经网络.
  • 缺陷的牙被处理,ToothDIT通过变形隐式模板来生成定制模板 (DIT).
  • 用RMSestimate,宽度,长度和尺寸比等指标评估恢复精度,将DIT与模板形状库 (TSL) 和平均牙模板 (ATT) 进行比较.

主要成果:

  • 与TSL和ATT相比,DIT方法显示RMS估计明显较低.
  • 2D分析显示,DIT与天然牙形态的偏差明显小于TSL和ATT.
  • DL模型成功地重建了不同程度的缺陷前牙,实现了高精度.

结论:

  • 拟议的DL模型提供了一种精确可靠的方法来重建缺陷牙形态.
  • 这种方法提高了假肢设计的准确性,并提高了数字修复工作流程的效率.
  • 由DL模型生成的定制模板可以显著帮助牙医和技术人员实现自然外观的修复.