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

Anatomy-guided weakly supervised learning framework for corneal nerve image denoising and enhancement.

Biomedical optics express·2026
Same author

Transformer-based models for predicting cardiovascular risk in Chinese adults: development and validation.

European heart journal·2026
Same author

Age-stratified associations of glycemia, blood pressure, and cholesterol with mortality in diabetes: A prospective cohort study.

BMC medicine·2026
Same author

An Annotated Corneal Confocal Microscopy Dataset for Nerve Segmentation and Clinical Characterization.

Scientific data·2026
Same author

Age-specific effects of hemoglobin A1c, blood pressure, and cholesterol levels on incident cardiovascular diseases among adults with diabetes in China: a 10-year prospective cohort study.

Life metabolism·2026
Same author

Association Between Socioeconomic Status and the Prevalence of Metabolic Diseases: A Nationwide Cross-Sectional Study in China.

Journal of diabetes·2026

相关实验视频

Updated: Sep 15, 2025

Corneal Confocal Microscopy: A Novel Non-invasive Technique to Quantify Small Fibre Pathology in Peripheral Neuropathies
11:29

Corneal Confocal Microscopy: A Novel Non-invasive Technique to Quantify Small Fibre Pathology in Peripheral Neuropathies

Published on: January 3, 2011

26.8K

ConNeCT:基于扩散模型的绘制网络的弱监督角膜共聚焦显微镜图像.

Qincheng Qiao1,2, Xinguo Hou1,2,3,4,5

  • 1Department of Endocrinology and Metabolism, Qilu Hospital, Shandong University, Jinan 250012, China.

Biomedical optics express
|July 18, 2025
PubMed
概括

我们开发了ConNeCT,这是一种新的深度学习方法,用于恢复带有人工制品的角膜共聚焦显微镜 (CCM) 图像. 这种技术通过增强CCM扫描中神经形态分析来改善神经退行性疾病的诊断.

更多相关视频

Sample Drift Correction Following 4D Confocal Time-lapse Imaging
10:04

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Published on: April 12, 2014

16.6K
Measuring the Shape and Size of Activated Sludge Particles Immobilized in Agar with an Open Source Software Pipeline
09:27

Measuring the Shape and Size of Activated Sludge Particles Immobilized in Agar with an Open Source Software Pipeline

Published on: January 30, 2019

7.2K

相关实验视频

Last Updated: Sep 15, 2025

Corneal Confocal Microscopy: A Novel Non-invasive Technique to Quantify Small Fibre Pathology in Peripheral Neuropathies
11:29

Corneal Confocal Microscopy: A Novel Non-invasive Technique to Quantify Small Fibre Pathology in Peripheral Neuropathies

Published on: January 3, 2011

26.8K
Sample Drift Correction Following 4D Confocal Time-lapse Imaging
10:04

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Published on: April 12, 2014

16.6K
Measuring the Shape and Size of Activated Sludge Particles Immobilized in Agar with an Open Source Software Pipeline
09:27

Measuring the Shape and Size of Activated Sludge Particles Immobilized in Agar with an Open Source Software Pipeline

Published on: January 30, 2019

7.2K

科学领域:

  • 眼科医生 眼科 眼科
  • 医疗成像医学成像
  • 神经科学是一个神经科学.

背景情况:

  • 角膜共聚焦显微镜 (CCM) 能够对角膜神经形态进行定量分析,用于诊断神经退行性疾病.
  • CCM图像中的人工物阻碍了准确的参数测量和诊断潜力.

研究的目的:

  • 引入ConNeCT,这是一个弱监督的图像绘制网络,用于删除CCM图像中的工件.
  • 提高角膜神经形态分析的准确性,以改善疾病诊断.

主要方法:

  • ConNeCT使用具有可变形卷积的引导扩散模型 (DDPM) 和U-Net细分模型.
  • 一个改进的DDPM重采样算法通过利用无文物区域和渐变信号来重建图像.
  • 该框架从原始文物加载图像和用户提供的面具进行端到端的图像恢复.

主要成果:

  • ConNeCT实现了最先进的性能,在手动注释的数据集上表现优于现有方法.
  • 定量评估显示SSIM=0.9838,PSNR=17.68,HD=13.74,MSD=6.30和MAE=14.80的高准确度.
  • 该方法在图像重建过程中有效地保存了神经纤维结构.

结论:

  • ConNeCT是第一个基于深度学习的方法,专门为CCM图像设计.
  • 拟议的框架显著提高了CCM图像的质量,有助于诊断神经退行性疾病.
  • 这项工作为临床应用推进角膜神经形态学的定量分析.