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相关概念视频

Teeth01:15

Teeth

310
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...
310
Tooth Anatomy01:21

Tooth Anatomy

343
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...
343

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相关实验视频

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整形牙图片牙细分和编号数据集数据集

Niha Adnan1, Fahad Umer1

  • 1Section of Operative Dentistry and Endodontics, Department of Surgery, Jenabai Hussainali Shariff (JHS) building, First Floor Dental clinics, Aga Khan University Hospital, Stadium Road, Karachi 74800, Pakistan.

Data in brief
|December 17, 2024
PubMed
概括
此摘要是机器生成的。

一个新的双注释的Orthopantomogram (OPG) 数据集有助于人工智能 (AI) 开发用于牙科诊断. 这一数据集可以实现精确的牙细分和编号,在临床应用中提升AI模型的稳定性.

关键词:
标注注释 标注注释人工智能的人工智能是人工智能.大数据就是大数据.数据集数据集数据集医疗保健行业 医疗保健行业医疗保健研究的研究.全景射线图 (Panoramic Radiography) 是一个全景射线图.

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相关实验视频

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科学领域:

  • 牙科 牙科是指牙科的专业.
  • 医疗成像医学成像
  • 人工智能的人工智能

背景情况:

  • 放射图的数字化增加了开发大型数据集的数据可用性.
  • 整形影像 (OPG) 是牙科实践中常见的放射性工具.
  • 将自动诊断与人工智能集成在一起,可以支持牙医在临床工作流程中发挥作用.

研究的目的:

  • 引入一套针对训练人工智能算法而定制的新型骨髓造影图 (OPG) 数据集.
  • 为了促进人工智能驱动的牙细分和编号任务.
  • 增强现有的OPG数据集,以改善AI模型开发.

主要方法:

  • 开发一个专门的OPG数据集.
  • 实现单个牙按类别细分的双注释.
  • 包括基于国际牙科联合会 (FDI) 系统的牙编号.

主要成果:

  • 数据集为全面的AI培训提供了双重注释.
  • 它支持OPG中精确的细分和精确的牙编号.
  • 该数据集解决了现有的OPG数据集的局限性.

结论:

  • 双注释的OPG数据集是牙科人工智能研究的宝贵资源.
  • 它可以提高人工智能模型对牙细分和编号的性能.
  • 这一数据集有助于开发用于各种牙科诊断任务的AI工具.