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

Classification of Bones01:18

Classification of Bones

10.4K
The bones of the human skeletal system are of varied shapes, sizes, and functions. They can be classified based on their shape and function into four major classes: long bones, short bones, flat bones, and irregular bones. Some classifications include a fifth type, the sesamoid bones, as a separate class, whereas others categorize them under short bones.
Long and Short Bones
The appendicular skeleton, particularly the upper and lower limbs, is primarily made of long and short bones. The...
10.4K

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

Tri-side-by-side stent deployment for hepatic hilar obstruction using fully covered self-expandable metal stents with a spiral-grooved outer surface.

Endoscopy·2026
Same author

A novel antegrade biopsy approach using a 3-o'clock-channel cholangioscope with a metal stent mesh laser ablation access technique.

Endoscopy·2026
Same author

Behçet-like Gastrointestinal Lesions and IgA Vasculitis Associated with Trisomy 8-Negative Myelodysplastic Syndrome.

The American journal of gastroenterology·2026
Same author

Mucosal Incision-assisted Balloon Dilation for Severe Radiation-associated Esophagogastric Anastomotic Stenosis after Chemoradiotherapy for Recurrent Esophageal Squamous Cell Carcinoma: A Case Report.

Internal medicine (Tokyo, Japan)·2026
Same author

Time to endosonography-created route formation after EUS-guided hepaticojejunostomy for performing antegrade procedures.

Endoscopic ultrasound·2026
Same author

A retrospective study on the safety of small and large volume paracentesis and risk factors for adverse events in patients with gastrointestinal cancer with malignant ascites.

Annals of palliative medicine·2026
Same journal

Evaluation of Radiograph Parameters Used to Assess Prosthetic Overlengthening in Radial Head Arthroplasty.

Journal of shoulder and elbow surgery·2026
Same journal

Assistant Experience Enhances the Learning Curve in Reverse Total Shoulder Arthroplasty: A Comparative CUSUM Analysis of Three Surgeons.

Journal of shoulder and elbow surgery·2026
Same journal

Prediction of Acromial and Scapular Spine Fractures After Reverse Total Shoulder Arthroplasty using Machine Learning: A Retrospective Cohort Study.

Journal of shoulder and elbow surgery·2026
Same journal

Simultaneous versus Staged Bilateral Shoulder Replacement: A Matched Cohort Study.

Journal of shoulder and elbow surgery·2026
Same journal

The Humeral Bone Loss (HUMBL) Classification Identifies Patterns of Humeral Bone Loss Associated with Various Revision, Instability, and Humeral Loosening Rates in Primary and Revision Shoulder Arthroplasty.

Journal of shoulder and elbow surgery·2026
Same journal

Letter to Editor for "Clarifying patient follow-up in a cohort study of testosterone levels and adhesive capsulitis".

Journal of shoulder and elbow surgery·2026
查看所有相关文章

相关实验视频

Updated: Feb 22, 2026

3D Planning and Printing of Patient Specific Implants for Reconstruction of Bony Defects
08:15

3D Planning and Printing of Patient Specific Implants for Reconstruction of Bony Defects

Published on: August 4, 2020

7.0K

使用深度学习的自动化多类骨分割:辐射头部置换模板的含义

Ausberto R Velasquez Garcia1, Linjun Yang2, Hiroki Nishikawa3

  • 1Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA; Clinica Universidad de los Andes, Department of Orthopedic Surgery, Santiago, Chile.

Journal of shoulder and elbow surgery
|February 20, 2026
PubMed
概括
此摘要是机器生成的。

一个深度学习模型显著加快骨细分用于辐射头关节整形术 (RHA) 规划. 这种人工智能工具提供了高精度,提高了RHA的手术前3D模板的效率和精度.

关键词:
人工智能的人工智能是人工智能.深度学习是一种深度学习.术前规划 术前规划辐射头关节整形 模板设计上肢骨细分 上肢骨细分在 nnU-Net 网络上.

更多相关视频

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

3.6K
Author Spotlight: Streamlined Brain and Skull Modeling for Enhanced Neurosurgical Planning in NHP Research
06:33

Author Spotlight: Streamlined Brain and Skull Modeling for Enhanced Neurosurgical Planning in NHP Research

Published on: February 9, 2024

1.8K

相关实验视频

Last Updated: Feb 22, 2026

3D Planning and Printing of Patient Specific Implants for Reconstruction of Bony Defects
08:15

3D Planning and Printing of Patient Specific Implants for Reconstruction of Bony Defects

Published on: August 4, 2020

7.0K
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

3.6K
Author Spotlight: Streamlined Brain and Skull Modeling for Enhanced Neurosurgical Planning in NHP Research
06:33

Author Spotlight: Streamlined Brain and Skull Modeling for Enhanced Neurosurgical Planning in NHP Research

Published on: February 9, 2024

1.8K

科学领域:

  • 整形外科手术 整形外科手术
  • 医疗成像医学成像
  • 人工智能的人工智能

背景情况:

  • 手术前的3D模板增强了放射性头关节整形术 (RHA) 的外科准确性.
  • 目前的细分方法是耗时且变化的.
  • 自动化细分对于高效的RHA规划至关重要.

研究的目的:

  • 训练和验证nnU-Net深度学习模型,用于自动化多类骨细分.
  • 评估nnU-Net模型对RHA模板的准确性和效率.
  • 通过精确的细分来支持RHA中的3D骨模板.

主要方法:

  • 在93个上肢CT扫描上训练和评估nnU-Net模型.
  • 使用子相似系数 (DSC) 和豪斯多夫距离进行准确性评估.
  • 使用平均表面距离 (MSD) 和根平均平方误差 (RMSE) 进行3D骨模型比较.

主要成果:

  • nnU-Net实现了高分段精度 (DSC:0.95-0.99) 的手腕,肘部和半径.
  • 平均表面距离 (MSD) 和根平均平方误差 (RMSE) 始终低 (<0.2毫米).
  • 用nnU-Net.net将分段时间从78分钟 (手动) 减少到每次扫描3分钟.

结论:

  • nnU-Net模型提供了一个快速,可靠的解决方案,用于RHA的骨细分.
  • 对皮层和非皮层骨区域实现了高精度,满足了临床需求.
  • 证明了提高RHA手术前规划效率和精度的临床可行性.