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相关概念视频

Teeth01:15

Teeth

383
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...
383
Tooth Anatomy01:21

Tooth Anatomy

434
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...
434

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Therapeutic potential of crude protein extracts from two Egyptian freshwater snails Lanistes carinatus and Bellamya unicolor.

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Microbial contamination of donor corneas and post-keratoplasty endophthalmitis: a comparison between Japanese and U.S. eye banks using cold storage.

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相关实验视频

Updated: Jun 24, 2025

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
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Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

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精细结构的人类幻影在牙科和牙细分的实例.

Atsushi Takeya1, Keiichiro Watanabe1, Akihiro Haga2

  • 1Graduate School of Biomedical Sciences, Tokushima University, 3-18-15 Kuramoto-cho, Tokushima, 770-8503, Japan.

Scientific reports
|June 1, 2024
PubMed
概括
此摘要是机器生成的。

研究人员开发了一个牙科幻象,并使用虚拟成像来训练一个深度学习模型,用于精确的牙细分在形光束计算机断层扫描 (CBCT) 中,在临床数据上实现高精度.

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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
  • 医疗成像医学成像
  • 计算机视觉 计算机视觉

背景情况:

  • 精确的牙细分对于牙科诊断和治疗规划至关重要.
  • 传统的方法可能耗时,容易变化.
  • 医学计算机视觉的进步为自动化细分提供了潜力.

研究的目的:

  • 为牙科成像应用开发精细结构的人类幻影.
  • 用这个幻影来评估医疗计算机视觉技术对牙细分的有效性.
  • 评估深度学习模型的性能,该模型在临床圆束计算机断层扫描 (CBCT) 数据上使用虚拟成像数据进行训练.

主要方法:

  • 人类幻影被设计用于牙科应用.
  • 一个虚拟圆束计算断层扫描 (CBCT) 系统通过不同的幻影特性和成像参数生成了超过17万个训练数据集.
  • 在这些虚拟数据集上训练了一种深度学习 (DL) 模型,用于牙细分.

主要成果:

  • 基于DL的牙细分模型表现出强大的性能.
  • 该模型在临床CBCT数据上与手动轮相比,实现了超过0.87的Dice相似系数.
  • 在自动细分和手动细分之间观察到很高的一致性.

结论:

  • 虚拟成像技术在牙科中几乎是有用的.
  • 医疗计算机视觉,特别是深度学习,显示出提高牙科成像精度和效率的巨大潜力.
  • 开发的细分模型为CBCT分析中自动化牙细分提供了可靠的工具.