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

Age-stratified analysis of descending aorta diameter in traumatic massive hemorrhage: a machine learning approach.

Trauma surgery & acute care open·2026
Same author

A cross-sectional study on national cancer screening participation among people with physical disabilities: focus on health screening experience and perceptions.

Journal of public health (Oxford, England)·2025
Same author

Text-guided cross-position attention for image analysis: Case of medical image.

Computers in biology and medicine·2025
Same author

Improving patient satisfaction based on service quality in clinical trials: A cross-sectional study.

PloS one·2024
Same author

Exercise-induced traumatic muscle injuries with active bleeding successfully treated by embolization: three case reports.

Journal of trauma and injury·2024
Same author

Dual repair of traumatic flank hernia using laparoscopic and open approaches: a case report.

Journal of trauma and injury·2024

相关实验视频

Updated: Jun 16, 2025

Reproducible Arterial Denudation Injury by Infrarenal Abdominal Aortic Clamping in a Murine Model
08:33

Reproducible Arterial Denudation Injury by Infrarenal Abdominal Aortic Clamping in a Murine Model

Published on: November 24, 2016

9.2K

基于深度学习的动脉直径测量创伤性出血使用浅注意网络:前进的道路

Yoonjung Heo1,2, Go-Eun Lee3, Jungchan Cho4

  • 1Division of Trauma Surgery, Department of Surgery, Dankook University College of Medicine, Cheonan-si 31116, Republic of Korea.

Diagnostics (Basel, Switzerland)
|June 13, 2025
PubMed
概括
此摘要是机器生成的。

一个新的深度学习模型准确地测量了创伤患者的大动脉直径,改进了关键干预措施的规划,如复苏性血管内气球阻塞大动脉 (REBOA). 这种自动化方法减少了测量时间和可变性.

关键词:
大动脉的动脉.计算机断层扫描 (CT) 是一种计算机断层扫描.深度学习是一种深度学习.发生出血 发生出血图像分割 图像细分 图像细分创伤的创伤创伤的创伤.

更多相关视频

Invasive Hemodynamic Monitoring of Aortic and Pulmonary Artery Hemodynamics in a Large Animal Model of ARDS
08:12

Invasive Hemodynamic Monitoring of Aortic and Pulmonary Artery Hemodynamics in a Large Animal Model of ARDS

Published on: November 26, 2018

10.1K
A Volumetric Method for Quantification of Cerebral Vasospasm in a Murine Model of Subarachnoid Hemorrhage
08:12

A Volumetric Method for Quantification of Cerebral Vasospasm in a Murine Model of Subarachnoid Hemorrhage

Published on: July 28, 2018

8.0K

相关实验视频

Last Updated: Jun 16, 2025

Reproducible Arterial Denudation Injury by Infrarenal Abdominal Aortic Clamping in a Murine Model
08:33

Reproducible Arterial Denudation Injury by Infrarenal Abdominal Aortic Clamping in a Murine Model

Published on: November 24, 2016

9.2K
Invasive Hemodynamic Monitoring of Aortic and Pulmonary Artery Hemodynamics in a Large Animal Model of ARDS
08:12

Invasive Hemodynamic Monitoring of Aortic and Pulmonary Artery Hemodynamics in a Large Animal Model of ARDS

Published on: November 26, 2018

10.1K
A Volumetric Method for Quantification of Cerebral Vasospasm in a Murine Model of Subarachnoid Hemorrhage
08:12

A Volumetric Method for Quantification of Cerebral Vasospasm in a Murine Model of Subarachnoid Hemorrhage

Published on: July 28, 2018

8.0K

科学领域:

  • 医疗成像医学成像
  • 人工智能在医学中的应用
  • 创伤外科 手术 创伤外科

背景情况:

  • 准确的大动脉直径 (AoD) 评估对于管理创伤性出血和指导干预措施至关重要,例如复苏性内血管气球阻塞大动脉 (REBOA).
  • 手动的AOD测量是耗时的,容易引起观察者之间的变化,影响临床决策.
  • 开发用于AOD测量的自动化方法可以提高创伤护理的效率和一致性.

研究的目的:

  • 开发和验证深度学习 (DL) 模型,用于创伤患者的自动AOD测量.
  • 与手动测量相比,评估模型的准确性和可靠性.
  • 评估DL在促进及时主动脉干预方面的潜力.

主要方法:

  • 对300名成年创伤患者的腹部CT扫描进行了回顾性分析.
  • 在444张手动注释的CT图像上训练浅注意网络,用于大动脉细分和直径测量.
  • 采用基于圆的校准方法来提高测量精度.

主要成果:

  • DL模型实现了高细分性能,平均子系数为0.865.
  • 在校准后,预测直径和地面真相直径之间的平均差异最小,为2.11毫米.
  • 介膜AOD的中位数测量为22.59毫米.

结论:

  • 开发的以圆为基础的校准深度学习模型证明了自动化AOD测量的强大性能.
  • 这种自动化方法有望提高创伤患者大动脉直径评估的效率和准确性.
  • 该模型可能有助于及时规划大动脉干预,如REBOA,在重症监护机构.