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

Glass Fall-Offs Detection for Glass Insulated Terminals via a Coarse-to-Fine Machine-Learning Framework.

Micromachines·2026
Same author

Error Analysis and Correction for Electrohydrodynamic Printing: A Review.

3D printing and additive manufacturing·2025
Same author

Prediction of Reactivation After Antivascular Endothelial Growth Factor Monotherapy for Retinopathy of Prematurity: Multimodal Machine Learning Model Study.

Journal of medical Internet research·2025
Same author

mm3DSNet: multi-scale and multi-feedforward self-attention 3D segmentation network for CT scans of hepatobiliary ducts.

Medical & biological engineering & computing·2024
Same author

A Study on the Reliability Evaluation of a 3D Packaging Storage Module under Temperature Cycling Ultimate Stress Conditions.

Micromachines·2024
Same author

IC Packaging Material Identification via a Hybrid Deep Learning Framework with CNN-Transformer Bidirectional Interaction.

Micromachines·2024
Same journal

Anti-aliasing-enhanced WaveUNet for clinically reliable 12-lead ECG reconstruction from limited 3-lead input.

Medical & biological engineering & computing·2026
Same journal

Deep multi-modal features based spatio-temporal video regression for non-invasive hemoglobin estimation.

Medical & biological engineering & computing·2026
Same journal

Reduced mechanical strength correlates with decreased elastin content in aortic intima-media tissue: association with dissection in human ascending aortas.

Medical & biological engineering & computing·2026
Same journal

How plaque morphology and stenosis severity govern stent-artery interaction and deployment outcomes: a computational study.

Medical & biological engineering & computing·2026
Same journal

Investigating a relation between amyloid beta plaque burden and accumulated neurotoxicity caused by amyloid beta oligomers.

Medical & biological engineering & computing·2026
Same journal

A robot-assisted eye positioning method with high precision and repeatability for ocular particle therapy: mechanical and geometric assessment.

Medical & biological engineering & computing·2026
查看所有相关文章

相关实验视频

Updated: Jul 9, 2025

Visualization of Vascular and Parenchymal Regeneration after 70% Partial Hepatectomy in Normal Mice
11:10

Visualization of Vascular and Parenchymal Regeneration after 70% Partial Hepatectomy in Normal Mice

Published on: September 13, 2016

8.1K

扫描:基于序列的上下文意识的协会网络,用于肝血管细分.

Yinghong Zhou1, Yu Zheng1, Yinfeng Tian1

  • 1School of Information Engineering, Guangdong University of Technology, Guangzhou, China.

Medical & biological engineering & computing
|November 30, 2023
PubMed
概括
此摘要是机器生成的。

一种新的深度学习方法,即基于序列的上下文感知关联网络 (SCAN),准确地对肝脏血管进行细分,用于肝脏手术规划. 这种方法改进了现有的准确手术前外科设计框架.

关键词:
注意力机制注意力机制CT 序列 背景信息 情境信息图形关联模块是一个模块.肝血管细分 肝血管细分区域边缘受限损失受限损失

更多相关视频

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

2.8K
Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease
08:41

Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease

Published on: March 24, 2023

1.2K

相关实验视频

Last Updated: Jul 9, 2025

Visualization of Vascular and Parenchymal Regeneration after 70% Partial Hepatectomy in Normal Mice
11:10

Visualization of Vascular and Parenchymal Regeneration after 70% Partial Hepatectomy in Normal Mice

Published on: September 13, 2016

8.1K
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

2.8K
Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease
08:41

Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease

Published on: March 24, 2023

1.2K

科学领域:

  • 医疗成像医学成像
  • 计算机视觉 计算机视觉
  • 手术规划 手术规划

背景情况:

  • 肝血管的准确细分对于肝脏手术中有效的手术前规划至关重要.
  • 现有的方法可能在CT扫描中难以捕捉复杂的血管结构和切片间的相关性.

研究的目的:

  • 开发一个先进的深度学习网络,用于精确的肝血管细分.
  • 通过改善血管细分,提高肝脏手术术前手术规划的准确性.

主要方法:

  • 设计了一个基于序列的上下文感知关联网络 (SCAN),结合2D特征提取和切片间相关性捕获.
  • 实现了切片级注意力和图形关联模块,以弥合特征差距.
  • 一个区域边缘受约束损失函数,结合交叉,子和边缘受约束损失,被用于优化.

主要成果:

  • 与现有的深度学习框架相比,拟议的SCAN实现了更高的性能.
  • 关键性能指标包括0.845的子相似系数 (DSC),0.856的精度,0.866的灵敏度和0.861.86的F1得分.

结论:

  • 该SCAN网络显示,对于精确的肝血管细分有很大的潜力.
  • 这种方法为改善肝脏外科手术中手术前规划提供了有价值的工具.