Jove
Visualize
联系我们
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

相关概念视频

Force Classification01:22

Force Classification

Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
Aggregates Classification01:29

Aggregates Classification

Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...

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

Exploring human factors that affect patient safety in dentistry: a qualitative study of hospital-based practice.

BMC oral health·2026
Same author

Unmuting the Dental Student Voice: A Multi-Institutional Study on Raising Concerns.

European journal of dental education : official journal of the Association for Dental Education in Europe·2026
Same author

Detecting Extrachromosomal DNA from Routine Histopathology.

bioRxiv : the preprint server for biology·2026
Same author

Identification of threshold concepts in the undergraduate orthodontics curriculum: a modified Delphi study.

BMC medical education·2026
Same author

Fasting as a metabolic strategy for cancer prevention: emerging evidence and future direction.

Annals of medicine and surgery (2012)·2026
Same author

Benchmarking ChatGPT-generated multiple-choice questions against faculty-authored items in dental education.

Scientific reports·2025

相关实验视频

Updated: Jun 30, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.9K

一个用于自动脑测量地标检测和CVM阶段分类的基准数据集.

Muhammad Anwaar Khalid1,2, Kanwal Zulfiqar3, Ulfat Bashir3

  • 1Peter L. Reichertz Institute for Medical Informatics, Karl-Wiechert-Allee 3, 30625, Hannover, Germany.

Scientific data
|July 31, 2025
PubMed
概括

这项研究引入了多样化的脑测量数据集,以改善人工智能驱动的正牙诊断. 新的数据集有助于自动检测地标和椎脊椎成熟分类.

更多相关视频

Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
10:23

Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

Published on: September 8, 2023

3.0K
Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

995

相关实验视频

Last Updated: Jun 30, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.9K
Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
10:23

Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

Published on: September 8, 2023

3.0K
Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

995

科学领域:

  • 医疗成像医学成像
  • 矯正牙科 矯正牙科是一種矯正牙科.
  • 人工智能的人工智能

背景情况:

  • 手动头脑测量地标识别是耗时且可变的.
  • 现有的自动化系统缺乏多样性用于正牙应用.
  • 需要一个全面的数据集来进行先进的AI分析.

研究的目的:

  • 为了介绍一个新的,多样化的脑力测量数据集.
  • 为了促进人工智能驱动的定量形态测量分析在矯正牙科.
  • 为自动地标检测和CVM分类提供一个基准.

主要方法:

  • 从七个成像设备编制了1000个侧向脑图 (LCR).
  • 临床专家注释了29个头部测量标志 (牙和软组织).
  • 包括宫脊椎成熟 (CVM) 阶段的注释.

主要成果:

  • 创建了迄今为止最多样化和最全面的公共脑力测量数据集.
  • 数据集包括29个地标和CVM阶段,超过了以前的数据集.
  • 实现了自动头脑测量分析工具的稳健开发.

结论:

  • 新的数据集通过解决数据局限性,在正牙科中推进人工智能.
  • 它作为CVM分类的标准资源.
  • 预计将刺激自动地标检测和定量形态测量的发展.