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

Cluster Sampling Method01:20

Cluster Sampling Method

Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...

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

Personalizing Suicide Risk Assessment: Machine Learning Extraction of Cross-Modal Interactions Between Psychosocial and Demographic Factors in Veterans <sup>1</sup>.

medRxiv : the preprint server for health sciences·2026
Same author

Comparative Evaluation of Pretrained Large Language Models for Suicide Risk Prediction from Clinical Notes in U.S. Veterans.

medRxiv : the preprint server for health sciences·2026
Same author

Evaluation of lipid pretreatment methods for microbial identification using linear negative-ion MALDI-TOF MS.

Journal of microbiological methods·2026
Same author

Distribution and antimicrobial resistance of uropathogens: a 6-year retrospective single-center study (2019-2024).

BMC infectious diseases·2026
Same author

Integrating single-cell and spatial transcriptomics to decipher the neuro-immune microenvironment of breast cancer brain metastasis: a key regulatory axis, prognostic model, and drug discovery.

Translational cancer research·2026
Same author

Phase selection behavior of nanosized GaIn liquid alloys governed by mixing enthalpy.

Nanoscale·2026

相关实验视频

Updated: Jul 15, 2026

Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands
10:59

Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands

Published on: July 26, 2014

14.4K

改善对具有集群约束的组织病理图像的表示学习.

Weiyi Wu1, Chongyang Gao2, Joseph DiPalma1

  • 1Dartmouth College.

Proceedings. IEEE International Conference on Computer Vision
|May 2, 2024
PubMed
概括

自主监督学习 (SSL) 提供了一种强大的,无注释的方法,用于分析全幻灯片图像 (WSIs) 在基因病理学. 我们的新型SSL框架在可转移的表示学习和聚类中实现了卓越的性能,用于WSI分析.

科学领域:

  • 数字病理学数字病理学
  • 计算生物学 计算生物学
  • 人工智能在医学中的应用

背景情况:

  • 全幻灯片图像 (WSI) 扫描仪和计算能力的进步使人工智能能够在基因病理学中发挥作用.
  • 对WSI分析的监督学习受到幻灯片标签的劳动密集和耗时性质的阻碍.

研究的目的:

  • 引入一个自我监督学习 (SSL) 框架,用于全幻灯片图像 (WSI) 分析.
  • 为了实现可转移的表示学习和语义上有意义的集群,而无需明确的数据注释.

主要方法:

  • 开发了一个SSL框架,集成WSI分析的不变性损失和聚类损失.
  • 利用自我监督的预训练策略来克服监督学习的局限性.

主要成果:

  • 与常见的SSL方法相比,拟议的SSL框架表现出优越的性能.
  • 在Camelyon16和胰腺癌数据集上的下游分类和聚类任务中取得了最先进的结果.

结论:

  • 对于WSI分析而言,SSL是监督学习的可行和有效替代方案.
  • 开发的框架促进了数字病理学中的可转移的表示学习和集群.

更多相关视频

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.0K
Author Spotlight: Enhanced Multiplex Immunofluorescent Microscopy Protocol for Neuroscience Research
05:22

Author Spotlight: Enhanced Multiplex Immunofluorescent Microscopy Protocol for Neuroscience Research

Published on: June 21, 2024

383

相关实验视频

Last Updated: Jul 15, 2026

Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands
10:59

Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands

Published on: July 26, 2014

14.4K
Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.0K
Author Spotlight: Enhanced Multiplex Immunofluorescent Microscopy Protocol for Neuroscience Research
05:22

Author Spotlight: Enhanced Multiplex Immunofluorescent Microscopy Protocol for Neuroscience Research

Published on: June 21, 2024

383