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

Radiological Investigation III: Pulmonary Angiogram and PET Scan01:13

Radiological Investigation III: Pulmonary Angiogram and PET Scan

Radiological investigations are paramount in the diagnosis and management of various pulmonary diseases. Two essential investigations are the Pulmonary Angiogram and the Positron Emission Tomography (PET) Scan.
Pulmonary Angiogram
A Pulmonary Angiogram is an invasive procedure involving injecting a contrast medium through a catheter threaded into the pulmonary artery or the right side of the heart to visualize the pulmonary vasculature. Computed Tomography (CT) scans have mainly replaced this...
Imaging Studies for Cardiovascular System III: X-Ray01:20

Imaging Studies for Cardiovascular System III: X-Ray

The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
Definition and Purpose
An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...

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

VesSynth: Tubes Are All You Need for Robust Cross-Scale Cross-Modal 3D Vessel Segmentation.

bioRxiv : the preprint server for biology·2026
Same author

Visualizing cortical laminar architecture in the living human brain using next-generation ultra-high-gradient diffusion MRI.

Communications biology·2026
Same author

Multi-dimensional diffusion MRI at ultra-high gradient strength for mapping axonal architecture and microstructure in the primate brain.

bioRxiv : the preprint server for biology·2026
Same author

Machine learning and Geographic Information Systems (GIS)-based model for road crash severity prediction and behavioural pattern analysis.

Traffic injury prevention·2026
Same author

Bacteroides vulgatus alleviates heart failure via butyric acid-TGF-β1/MAPK pathway.

Journal of advanced research·2025
Same author

CD45 on CD33br HLA-DR+ immune cells promote cholecystitis via glycine-mediated pathways: A Mendelian randomization study.

Medicine·2025

相关实验视频

Updated: Jun 22, 2026

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
08:05

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

14.3K

一个半监督的多连接对比学习框架,用于基于相互蒸的X射线肺部细分.

Xiangrui Zeng1, Nibras Abdulla2, Baixue Liang1

  • 1School of Computer Science, Universiti Sains Malaysia, Penang, Malaysia.

Medical physics
|July 16, 2025
PubMed
概括

本研究引入了一种半监督的深度学习框架,用于高效的医疗图像细分,以最小的标记数据和小模型大小实现高性能.

关键词:
相反的学习学习学习.蒸蒸是一种蒸.肺部图像细分 肺部图像细分半监督 半监督 半监督一个X射线.

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

2.9K
Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
02:09

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

Published on: April 12, 2024

681

相关实验视频

Last Updated: Jun 22, 2026

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
08:05

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

14.3K
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

2.9K
Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
02:09

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

Published on: April 12, 2024

681

科学领域:

  • 医疗成像医学成像
  • 深度学习 (Deep Learning) 是一种深度学习.
  • 计算机视觉 计算机视觉

背景情况:

  • 医疗图像细分的深度学习需要大量的标记数据,这需要大量的劳动力和成本.
  • 便携式医疗设备中的有限的计算资源和存储需要离线,紧的模型部署.
  • 高度的数据安全要求往往限制了医疗数据的基于云的处理.

研究的目的:

  • 开发高性能,微小的离线模型,用于医学图像细分的边缘部署.
  • 创建一个适合临床实践和有限的计算资源的细分模型.
  • 解决医疗AI中数据标签成本和设备限制的挑战.

主要方法:

  • 一个半监督的框架,利用对比学习进行器官轮细分.
  • 结合多个一致性对齐和相互蒸机制.
  • 可适应的骨干设计,以平衡各种应用的性能和速度要求.

主要成果:

  • 仅使用两个标记图像,在肺部细分方面获得了高的Dice分数 (例如,在JSRT数据集上为0.9636).
  • 开发了一个只有115万个参数的推理模型,证明了显著的模型压缩.
  • 在三个不同的胸部X射线数据集 (JSRT,蒙哥马利县,深医院) 上验证了框架.

结论:

  • 拟议的框架展示了领先的性能和适合临床环境中的边缘部署的适用性.
  • 该模型的小尺寸和高精度使其适用于资源有限的医疗设备.
  • 该研究强调了半监督学习和对比方法的潜力,以有效地分析医疗图像.