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

Intervention Outcomes for Meniere's Disease: An Umbrella Review.

The Laryngoscope·2026
Same author

Risk Reduction of Recurrent Cerebrospinal Fluid Leaks With Postoperative Intracranial Pressure Management: A Systematic Review.

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

Canal Cholesteatoma Presentation and Management: A Systematic Review and Meta-Analysis.

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

Suicidality in Individuals With Hearing Loss: A Systematic Review and Meta-Analysis.

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

Auditory Symptoms Among Musicians: A Systematic Review and Meta-analysis.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery·2025
Same author

Outcomes of Tinnitus Interventions: An Umbrella Review of Systematic Reviews with Meta-Analysis.

The Annals of otology, rhinology, and laryngology·2025

相关实验视频

Updated: Jun 30, 2025

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

2.7K

基于卷积神经网络的深度学习引擎用于乳腺切除术仪器识别和运动跟踪.

Mallory J Raymond1,2, Biswajit Biswal3, Royal M Pipaliya1,4

  • 1Department of Otolaryngology-Head and Neck Surgery, Medical University of South Carolina, Jacksonville, USA.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
|March 23, 2024
PubMed
概括

一个新的计算机视觉模型在乳腺切除术期间准确地跟踪手术仪器. 这项技术可以客观地分析外科医生的技术,改善耳植入手术的培训和患者安全.

关键词:
计算机视觉 计算机视觉仪器识别仪器的识别方式进行乳腺切除术 (mastoidectomy).

更多相关视频

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
07:46

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

718
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

530

相关实验视频

Last Updated: Jun 30, 2025

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

2.7K
Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
07:46

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

718
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

530

科学领域:

  • 神经外科 神经外科
  • 计算机视觉 计算机视觉
  • 手术技术 手术技术

背景情况:

  • 乳腺切除术是一种关键的外科手术,通常用于耳植入.
  • 客观地评估手术技巧在乳腺切除术是具有挑战性的.
  • 目前评估外科手术表现的方法往往是主观的.

研究的目的:

  • 开发基于卷积神经网络 (CNN) 的计算机视觉模型.
  • 在乳腺切除术期间识别和跟踪钻孔和吸灌器.
  • 为了实现对外科手术技术的客观分析.

主要方法:

  • 使用了乳腺切除术的手术内视频录像.
  • 使用特征金字塔网络和DETECTRON.开发了一个跟踪模块.
  • 在8个视频中训练了模型,并在2个视频中测试了模型,测量了十字路口与联盟 (IoU),准确性和平均精度.

主要成果:

  • 实现了高平均精度:钻机99%,吸水灌器86%的IOU为0.5.5.
  • 该模型成功生成了仪器移动的方向和距离地图.
  • 在识别和跟踪手术仪器方面表现出卓越的精度.

结论:

  • 开发的计算机视觉模型在乳腺切除视频中精确跟踪手术仪器.
  • 这种工具可以用来追溯分析客观的外科手术措施 (例如,运动经济,速度,协调).
  • 促进对安全有效的乳腺切除术的客观基准的描述,提高外科培训和结果.