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

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

Practical pathways for evaluating artificial intelligence in intracranial aneurysm detection.

Science bulletin·2026
Same author

Association of hypertension and blood pressure control with aneurysm wall enhancement in unruptured intracranial aneurysms: a multicenter propensity score-matched study.

European radiology·2026
Same author

The dyadic paradox of unmet supportive care needs and depression in colorectal cancer couples: an explanatory sequential mixed-methods study.

Frontiers in psychology·2026
Same author

Association of hormone receptor-based pathological features with prognosis in high-grade serous ovarian carcinoma: a retrospective cohort study and nomogram construction.

Journal of ovarian research·2026
Same author

Spatial and temporal single cell multi-omics in mice reveals macrophage-SFRP4+ stroma interactions promoting endometrial regeneration via TNF-α.

Cell reports·2026
Same author

Aneurysm Wall Enhancement in Patients With Unruptured Intracranial Aneurysm Using Aspirin or Statins: A Cross-Sectional Analysis of Three Prospective Cohorts.

AJNR. American journal of neuroradiology·2026

相关实验视频

Updated: May 21, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

442

基于深度学习的关键点检测算法协助船只中线提取.

Xiqian Zhang1,2, Wanqing Sun3, Hui Zhang4

  • 1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.

Quantitative imaging in medicine and surgery
|May 19, 2025
PubMed
概括
此摘要是机器生成的。

一个新的关键点检测算法提高了用于斑块分析的血管中心线提取精度. 这种方法提高了曲的容器的精度,并大大缩短了处理时间.

关键词:
关键点检测 关键点检测磁共振容器墙壁成像 (MR-VWI) 的研究.船的中心线是船的中心线.

更多相关视频

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

42.4K
Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus
05:57

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus

Published on: April 8, 2019

6.8K

相关实验视频

Last Updated: May 21, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

442
Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

42.4K
Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus
05:57

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus

Published on: April 8, 2019

6.8K

科学领域:

  • 医疗成像医学成像
  • 计算解剖学的计算解剖学
  • 血管生物学 血管生物学

背景情况:

  • 船舶中线提取对于定量斑块分析至关重要.
  • 当前的方法与曲的血管作斗争,导致不准确的结果.
  • 本研究介绍了一种关键点检测算法,以提高准确性.

研究的目的:

  • 开发和评估一个关键点检测算法来增强船只中线提取.
  • 提高脑血管疾病定量斑块分析的准确性.
  • 为了解决处理复杂船舶几何形状的现有算法的局限性.

主要方法:

  • 用3.0-TMRI对539名脑血管疾病患者进行了回顾性分析.
  • 32个关键关键点的选择 (例如,动脉吸管,分叉).
  • 使用未检测到的点,错误的点,点精度和平均中心线距离 (ACD) 的评估.

主要成果:

  • 该算法在32个关键点的平均准确率为88.99%,在18个关键点的平均准确率超过90%.
  • 观察到高精度 (97%) 在动脉吸管的尖曲线.
  • 平均中线距离 (ACD) 从0.529±0.334mm提高到0.484±0.321mm;检测时间从~320s减少到~2s.

结论:

  • 拟议的算法自动准确地检测到关键点,特别是在内动脉和中脑动脉.
  • 这提高了船体中线提取的准确性,有助于对斑块的评估.
  • 该算法为脑血管斑块的定量分析提供了显著的改进.