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

Vertebral Column: Regions and Curvature01:16

Vertebral Column: Regions and Curvature

8.6K
The vertebral column or spine is a flexible column that supports the head, neck, and body and  allows for their movements. It also protects the spinal cord.
Regions of the Vertebral Column
In an adult, the spine is subdivided into five regions: the cervical, the thoracic, the lumbar, the sacral, and the coccygeal region. The spine initially develops as a series of 33 vertebrae; after 20 years of age, the nine bones in the sacral region, five sacral, and four coccygeal bones fuse to form...
8.6K
General Structure of a Vertebra01:30

General Structure of a Vertebra

7.5K
A typical vertebra, with the exception of the sacrum and coccyx, consists of a body, a vertebral arch, and seven different projections termed processes. The anterior portion of the vertebrae, the body, supports about half the body’s weight. The vertebral bodies progressively increase in size and thickness from the cervical region to the lumbar region of the vertebral column. The intervertebral discs present between the bodies of adjacent vertebrae firmly unites them, forming a continuous...
7.5K

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

Multimodal engagement estimation in paediatric robot-assisted gait training: integrating physiological sensing and biomechanical interaction.

Journal of neuroengineering and rehabilitation·2026
Same author

Correction: A Deep-Learning Approach for Vocal Fold Pose Estimation in Videoendoscopy.

Journal of imaging informatics in medicine·2026
Same author

Multicenter Clinical Validation of an Artificial Intelligence Diagnostic Classification Model for Laryngoscopy Images.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery·2026
Same author

Editorial: AI4US Special Issue.

Medical & biological engineering & computing·2025
Same author

AI-based prediction of VO<sub>2</sub> max from 24-h Holter ECG recording.

NPJ microgravity·2025
Same author

FedStenoNet: tackling domain shift in x-ray coronary angiography through a personalized federated detection framework.

Computers in biology and medicine·2025

相关实验视频

Updated: May 5, 2026

3D Printing Model of a Patient's Specific Lumbar Vertebra
07:30

3D Printing Model of a Patient's Specific Lumbar Vertebra

Published on: April 14, 2023

1.9K

关于利用3D U-Net对个体脊椎细分的知识蒸.

Luís Serrador1, Francesca Pia Villani2, Sara Moccia3

  • 1Center for MicroElectroMechanical Systems (CMEMS), University of Minho, Guimaraes, Portugal; Clinical Academic Center of Braga (2CA-Braga), Hospital of Braga, Braga, Portugal.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
|February 10, 2024
PubMed
概括
此摘要是机器生成的。

知识蒸 (KD) 能够实现更小,更有效的神经网络,用于CT扫描中的脊椎细分. 这种方法显著减少了计算时间和资源使用,同时保持了医疗成像应用的高精度.

关键词:
3D U-net 是一个 3D U-net 网络.计算机断层扫描 (CT) 是一种计算机断层扫描.知识的蒸知识的蒸.脊椎细分的划分 脊椎细分的划分

更多相关视频

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

Published on: April 14, 2023

2.5K
Author Spotlight: Optimizing Dendritic Spine Analysis for Balanced Manual and Automated Assessment in the Hippocampus CA1 Apical Dendrites
07:45

Author Spotlight: Optimizing Dendritic Spine Analysis for Balanced Manual and Automated Assessment in the Hippocampus CA1 Apical Dendrites

Published on: September 27, 2024

2.1K

相关实验视频

Last Updated: May 5, 2026

3D Printing Model of a Patient's Specific Lumbar Vertebra
07:30

3D Printing Model of a Patient's Specific Lumbar Vertebra

Published on: April 14, 2023

1.9K
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

Published on: April 14, 2023

2.5K
Author Spotlight: Optimizing Dendritic Spine Analysis for Balanced Manual and Automated Assessment in the Hippocampus CA1 Apical Dendrites
07:45

Author Spotlight: Optimizing Dendritic Spine Analysis for Balanced Manual and Automated Assessment in the Hippocampus CA1 Apical Dendrites

Published on: September 27, 2024

2.1K

科学领域:

  • 医疗成像医学成像
  • 计算机视觉 计算机视觉
  • 人工智能的人工智能

背景情况:

  • 在CT扫描上精确的个体脊椎细分对于骨科,神经外科和瘤学中的诊断和治疗计划至关重要.
  • 当前的算法在临床实施中面临着挑战,特别是在集成和计算效率方面.
  • 需要更快,更节省资源的细分方法,适合临床环境,包括紧急情况.

研究的目的:

  • 探索知识蒸 (KD) 的应用,用于训练浅层神经网络,以便在CT扫描中高效地进行脊椎细分.
  • 为了减少细分时间和优化计算和内存资源效率.
  • 评估KD在提高脊椎细分模型的准确性和效率方面的表现.

主要方法:

  • 一种两步的细分方法,涉及通过热图预测和随后的代细分的初始脊柱定位.
  • 通过培训教师网络并将其知识蒸到更浅的学生网络,使用软输出或logit匹配来实现KD.
  • 利用了两个公共数据集,其中包含了大量的脊椎数据,并应用了数据增强技术以获得稳健性.

主要成果:

  • 教师网络实现了88.22%的子相似系数 (DSC) 和7.71毫米的豪斯多夫距离 (HD).
  • 知识蒸提高了学生网络的表现,将平均DSC从75.78%提高到84.70%,并将HD从15.17mm降低到8.08mm.
  • 与教师网络相比,学生网络在参数 (75.00%),推断时间 (36.15%) 和二氧化碳排放 (42.96%) 中显著降低.

结论:

  • 这项研究是首次将KD应用于CT扫描中的单个脊椎细分.
  • 通过KD,可以开发更小,更高效的神经网络,其性能与较大的模型相提并论.
  • 拟议的方法为改善临床实践中脊椎细分的效率和可访问性提供了一个可行的解决方案.