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

Functional connectivity changes in patients with absence epilepsy studied using resting-state functional MRI.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia·2012
Same author

Quantitative analysis of mitral valve morphology in mitral valve prolapse with real-time 3-dimensional echocardiography: importance of annular saddle shape in the pathogenesis of mitral regurgitation.

Circulation·2012
Same author

Interval cancers in nasopharyngeal carcinoma screening: comparing two screening intervals after a negative initial screening result.

Journal of medical screening·2012
Same author

Two Epstein-Barr virus-related serologic antibody tests in nasopharyngeal carcinoma screening: results from the initial phase of a cluster randomized controlled trial in Southern China.

American journal of epidemiology·2012
Same author

MALT1 small molecule inhibitors specifically suppress ABC-DLBCL in vitro and in vivo.

Cancer cell·2012
Same author

Extraction and characterization of extracellular polymeric substances in biofilm and sludge via completely autotrophic nitrogen removal over nitrite system.

Applied biochemistry and biotechnology·2012

相关实验视频

Updated: Jul 21, 2025

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells
12:49

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

12.8K

PS-Net:人类感知引导的EM细胞膜细分网络.

Ruohua Shi1,2,3, Keyan Bi4,5,6,7, Kai Du8

  • 1Advanced Institute of Information Technology, Peking University, Hangzhou, Zhejiang 310000, China.

Bioinformatics (Oxford, England)
|July 28, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了电子显微镜图像中细胞膜细分的新计算框架. 通过模仿人类的视觉感知,拟议的方法在低分辨率和高分辨率数据集上实现了卓越的性能.

更多相关视频

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

8.9K
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

相关实验视频

Last Updated: Jul 21, 2025

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells
12:49

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

12.8K
Deep Learning-Based Segmentation of Cryo-Electron Tomograms
10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

8.9K
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

科学领域:

  • 计算机视觉 计算机视觉
  • 生物医学成像技术 生物医学成像技术
  • 神经科学是一个神经科学.

背景情况:

  • 在电子显微镜 (EM) 中的细胞膜细分对于图像处理至关重要.
  • 当前的方法在低分辨率的EM数据上表现出色,但在高分辨率的数据集上却很困难.
  • 人类视觉在各种分辨率上表现一致,为改进的算法提供了洞察力.

研究的目的:

  • 在EM图像分析中了解人类的视觉感知.
  • 以人类视觉为灵感,开发用于膜细分的计算框架.
  • 引入一种新的评估指标和深度学习模型,以加强细分.

主要方法:

  • 进行了眼睛运动和感知一致性实验,以分析人类的视觉策略.
  • 开发了感知豪斯多夫距离 (PHD) 作为一种新的评估度量.
  • 提出了PHD引导细分网络 (PS-Net),具有多尺度架构和自适应PHD损失功能.

主要成果:

  • 人类观察者优先考虑膜结构而不是完美的对齐,与传统的指标不同.
  • 博士学位指标比现有标准更好地与人类的感知保持一致.
  • 在各种EM和自然图像数据集上,PS-Net在最先进的方法上表现出优越的性能.

结论:

  • 人类视觉感知为改进EM图像分割算法提供了一个有价值的模型.
  • 拟议的PHD指标和PS-Net框架显著提高了膜细分的准确性和稳定性.
  • 这些发现为更有效地分析高分辨率EM数据铺平了道路.