Jove
Visualize
联系我们

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Glaucoma detection: Binocular approach and clinical data in machine learning.

Artificial intelligence in medicine·2024
Same author

Author Correction: PAPILA: Dataset with fundus images and clinical data of both eyes of the same patient for glaucoma assessment.

Scientific data·2024
Same author

Analysis of the Asymmetry between Both Eyes in Early Diagnosis of Glaucoma Combining Features Extracted from Retinal Images and OCTs into Classification Models.

Sensors (Basel, Switzerland)·2023
Same author

Safety Assessment of Low-Flow Oxygenation Device: Quasi-Experimental Study.

Clinical nursing research·2022
Same author

Decision Trees for Glaucoma Screening Based on the Asymmetry of the Retinal Nerve Fiber Layer in Optical Coherence Tomography.

Sensors (Basel, Switzerland)·2022
Same author

Improving Glaucoma Diagnosis Assembling Deep Networks and Voting Schemes.

Diagnostics (Basel, Switzerland)·2022
Same journal

Corrigendum to "CFPNet-M: A light-weight encoder-decoder based network for multimodal biomedical image real-time segmentation" [Comput. Biol. Med. 154 (2023) 106579].

Computers in biology and medicine·2026
Same journal

ECG arrhythmia classification via wavelet-driven feature extraction and swarm-optimised gradient boosting.

Computers in biology and medicine·2026
Same journal

Electro-osmotic metachronal cilia transport of viscoelastic blood infused with penta-hybrid nanoparticles in an oviduct: Analytical and neural network modeling.

Computers in biology and medicine·2026
Same journal

sEEGnal: an automated EEG preprocessing pipeline evaluated against expert-driven preprocessing.

Computers in biology and medicine·2026
Same journal

Corrigendum to "Integrating experimental biology, computational methods, and artificial Intelligence in anticancer drug discovery: Bridging the translational Gap" [Comput. Biol. Med. 213 (2026) 111832].

Computers in biology and medicine·2026
Same journal

Organ dose optimization for a point-of-care forearm X-ray photon-counting CT.

Computers in biology and medicine·2026
查看所有相关文章
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: Sep 13, 2025

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

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

Published on: August 5, 2021

1.9K

基于3D分析和数据处理的牙科测量程序.

Rafael Berenguer-Vidal1, Rafael Verdú-Monedero2, Rafael Melendreras-Ruiz1

  • 1Universidad Católica de Murcia, 30107 Murcia, Spain.

Computers in biology and medicine
|July 29, 2025
PubMed
概括
此摘要是机器生成的。

这项研究提出了一种用于比较3D牙科扫描的新方法,实现了高精度的评估牙科准备技能. 这项技术有助于客观评估牙科教育和临床应用.

关键词:
三维对齐 3D对齐通过3D扫描进行3D扫描.可以变形的模型牙科测量 牙科测量

更多相关视频

Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities
07:14

Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities

Published on: May 24, 2022

4.6K
Measuring the Complete-arch Distortion of an Optical Dental Impression
06:51

Measuring the Complete-arch Distortion of an Optical Dental Impression

Published on: May 30, 2019

7.6K

相关实验视频

Last Updated: Sep 13, 2025

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

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

Published on: August 5, 2021

1.9K
Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities
07:14

Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities

Published on: May 24, 2022

4.6K
Measuring the Complete-arch Distortion of an Optical Dental Impression
06:51

Measuring the Complete-arch Distortion of an Optical Dental Impression

Published on: May 30, 2019

7.6K

科学领域:

  • 生物医学工程 生物医学工程
  • 牙科技术 牙科技术
  • 计算式牙科 计算式牙科

背景情况:

  • 评估牙科准备能力传统上依赖于主观评估.
  • 需要客观,定量方法来规范假牙和保守牙科的技能评估.

研究的目的:

  • 引入一种用于对准和比较3D数字牙科模型的新方法.
  • 为了使用3D扫描技术精确,定量评估牙科准备技能.

主要方法:

  • 开发了一个三阶段的过程:基于参考的对齐,用于网格生成的参数可变形模型和定量对对分析.
  • 通过使用Aidite® A-IS Pro扫描仪获得的Duroplastic®牙样本的3D扫描来验证方法.

主要成果:

  • 在对齐和建模方面实现了高精度,平均差异从0.0008毫米到0.0165毫米.
  • 最大表面误差低于0.1416毫米,证明了强大的准确性.
  • 该方法适用于比较牙科扫描中的3D点云.

结论:

  • 拟议的方法提供了足够的准确性来客观评估牙科制剂.
  • 允许自动比较学生和教师的牙雕刻,以评估绩效.
  • 潜在的应用包括AIDDA®系统,牙科教育和临床/法医牙科.