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相关概念视频

Structural Classification of Joints01:20

Structural Classification of Joints

3.4K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
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Tooth Anatomy01:21

Tooth Anatomy

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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...
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相关实验视频

Updated: Jul 2, 2025

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
05:56

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

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用改进的DeepLabv3+模型对牙裂进行语义细分.

Zewen Xie1,2, Qilin Lu1, Juncheng Guo1

  • 1School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou, 510006, China.

Heliyon
|February 21, 2024
PubMed
概括
此摘要是机器生成的。

一个新的FDB-DeepLabv3+模型使用改进的功能学习准确地检测破裂的牙. 这种计算机辅助诊断工具显示出通过精确细分牙裂来提高口腔健康的巨大潜力.

关键词:
破裂的牙 破裂的牙深度实验室v3+口腔健康 口腔健康语义细分 语义细分是指语义细分.

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

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相关实验视频

Last Updated: Jul 2, 2025

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
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科学领域:

  • 生物医学工程 生物医学工程
  • 计算机视觉 计算机视觉
  • 牙科成像 牙科成像 牙科成像

背景情况:

  • 准确检测破裂的牙对于保持口腔健康至关重要.
  • 现有的牙裂细分方法在精度和效率方面面临挑战.

研究的目的:

  • 在光学显微镜图像上评估增强型牙裂细分模型FDB-DeepLabv3+的性能.
  • 为了提高检测牙隐藏裂的准确性和稳定性.

主要方法:

  • 该FDB-DeepLabv3+模型包含ResNet50骨干,功能金字塔网络 (FPN) 用于多层次的功能融合,密集链接的Atrous空间金字塔聚合 (Dense ASPP) 用于增强采样,以及瓶注意模块 (BAM) 用于本地功能提取.
  • 该模型在隐藏的破裂牙的自制数据集上进行了测试.

主要成果:

  • 在细分精度方面,FDB-DeepLabv3+模型显著超过了四个经典网络 (FCN,U-Net,SegNet,DeepLabv3+).
  • 与DeepLabv3+相比,拟议的网络实现了平均像素精度 (MPA) 的11.41%增加和平均交叉点 (MIoU) 的12.14%增加.
  • 废弃性研究证实了所有实施的修改的有益影响.

结论:

  • 开发的FDB-DeepLabv3+网络在对牙表面裂进行细分方面表现出强大的性能和稳定性.
  • 这种改进的模型对推进破裂牙的计算机辅助诊断系统具有重大潜力.