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

Fractures: Bone Repair01:27

Fractures: Bone Repair

3.3K
Treatment for a fracture is based on the type of break, the bone affected, and the patient's age.
Minor fractures with no bone displacement are treated by immobilizing the fractured bone using a cast or splint. However, in the case of fractures with displaced bones, the broken bones are repositioned before immobilization to ensure successful healing without deformation and loss of function. The realignment of fractured bone ends is performed through a process called reduction. If the...
3.3K
Computed Tomography01:10

Computed Tomography

4.6K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
4.6K
X-ray Imaging01:24

X-ray Imaging

5.6K
German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
5.6K

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

Association of Conventional and Electronic Cigarette Use with Obesity and Central Obesity Among Korean Adults: A Cross-Sectional Analysis of the 2016-2018 KNHANES (2016-2018).

Medicina (Kaunas, Lithuania)·2026
Same author

Using Digital Phenotyping for Depression Screening in Community-Dwelling Older Adults: Bayesian Multilevel Hurdle Model Machine Learning Approach.

JMIR AI·2026
Same author

Scalable and Privacy-Conscious End-to-End Processing of Large-Scale Clinical Data for Precision Medicine: Empirical Evaluation Study.

JMIR medical informatics·2026
Same author

Association Between Types of Shift Work and Physical Health Symptoms, Including Musculoskeletal Symptoms and Sleep Disturbance: Evidence From the Seventh Korean Working Conditions Survey.

Journal of occupational and environmental medicine·2025
Same author

Longitudinal Examination of Stress and Depression in Older Adults Over a 2-Year Period: Moderation Effect of Varied Social Support Measures.

Depression and anxiety·2025
Same author

Comparative Performance Evaluation of Continuous Monitoring Blood Culture Systems Using Simulated Septic Specimen.

Diagnostics (Basel, Switzerland)·2025

相关实验视频

Updated: Jul 15, 2025

Assessment of Bone Fracture Healing Using Micro-Computed Tomography
12:04

Assessment of Bone Fracture Healing Using Micro-Computed Tomography

Published on: December 9, 2022

1.9K

提高基于X射线的手腕骨折诊断使用超柱状卷积块注意力模块.

Joonho Oh1, Sangwon Hwang2, Joong Lee3

  • 1Department of Mechanical Engineering, Chosun University, Gwangju 61452, Republic of Korea.

Diagnostics (Basel, Switzerland)
|September 28, 2023
PubMed
概括

本研究介绍了一种使用HyperColumn和CBAM的机器学习方法,以改善X射线中骨折检测. 改进的模型在诊断骨折时显示出更高的准确性.

关键词:
这是一个超级列 (HyperColumn).这是X射线.人工智能的人工智能是人工智能.生物医学图像处理骨折 骨折 骨折 骨折 骨折手腕骨折 手腕骨折 的情况.

更多相关视频

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

439
A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation
09:34

A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation

Published on: September 14, 2017

7.5K

相关实验视频

Last Updated: Jul 15, 2025

Assessment of Bone Fracture Healing Using Micro-Computed Tomography
12:04

Assessment of Bone Fracture Healing Using Micro-Computed Tomography

Published on: December 9, 2022

1.9K
Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

439
A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation
09:34

A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation

Published on: September 14, 2017

7.5K

科学领域:

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

背景情况:

  • 骨折影响人口的很大一部分,X光是标准的诊断方法.
  • 目前用于骨折检测的深度学习模型面临着对注释依赖性和诊断精度的挑战.

研究的目的:

  • 通过机器学习提高X射线放射图中骨折检测的准确性.
  • 将HyperColumn技术和卷积块注意模块 (CBAM) 与深度学习模型相结合.

主要方法:

  • 员工使用的EfficientNet-B0和DenseNet169模型与HyperColumn和CBAM集成.
  • 使用Grad-CAM技术来改进热图的焦点,并与专家注释保持一致.

主要成果:

  • 无论是DenseNet169还是EfficientNet-B0模型,都显示出精度的提高 (约为1. 0.69%和0.70%) 的情况.
  • 超柱-CBAM-DenseNet169模型实现了显著的AUC得分从0.8778增加到0.9145.9的显著增加.
  • Grad-CAM提高了热图的准确性,减少了对界限框注释的依赖.

结论:

  • HyperColumn和CBAM的整合显著提高了X射线图像中的骨折检测.
  • 这种方法为简化培训和改善骨折检测诊断准确度提供了潜力.
  • 该方法在克服传统深度学习注释要求的局限性方面显示出前景.