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

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...

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

Auto-segmentation of organs-of-interest clinical acceptability & reproducibility framework in head and neck cancer.

Physics and imaging in radiation oncology·2026
Same author

Real-world treatment patterns for metastatic urothelial cancer in 5 European countries: EVEREST 2.

Future oncology (London, England)·2026
Same author

Making head and neck cancer clinical data Findable-Accessible-Interoperable-Reusable to support multi-institutional collaboration and federated learning.

BJR artificial intelligence·2026
Same author

LLMB: AI Agent for Lithium Metal Battery Research Using Large Language Model.

ACS central science·2026
Same author

A practical framework for operationalising responsible and equitable artificial intelligence in health care: tackling bias, inequity, and implementation challenges.

The Lancet. Digital health·2026
Same author

First Korean Case of 5q35.2q35.3 Microduplication With Reversed Sotos Syndrome Phenotype and Growth Hormone Deficiency: Expanding the Endocrine Spectrum.

American journal of medical genetics. Part A·2026
Same journal

The Outcome of Cardiac Hydatid Surgery in The Iraqi Center of Heart Diseases.

F1000Research·2026
Same journal

Perception of body donation among the Phase-1 medical students, a questionnaire-based study.

F1000Research·2026
Same journal

Exploring Infertility in Saudi Arabia: Qualitative Insights into IVF Treatment Services and Policy Recommendations.

F1000Research·2026
Same journal

Cyber Military Operations under International Humanitarian Law: Interpreting the Concept of "Attack" and Challenges in Protecting Civilians.

F1000Research·2026
Same journal

Sentiment Analysis of Acceptance TVET Online Courses on the Skill Academy App from Google Play: Leveraging Text Mining with Comparison Machine Learning Model.

F1000Research·2026
Same journal

Emotional intelligence: An important skill to learn now more than ever.

F1000Research·2026
查看所有相关文章

相关实验视频

Updated: May 10, 2026

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
09:41

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

Published on: May 20, 2016

12.0K

Med-ImageTools:一个开源的Python包,用于强大的数据处理管道和医疗成像数据的策划.

Sejin Kim1,2, Michal Kazmierski1,2, Kevin Qu1,3

  • 1Princess Margaret Cancer Centre, University Health Network, Canada, Toronto, ON, Canada.

F1000Research
|February 24, 2025
PubMed
概括
此摘要是机器生成的。

Med-ImageTools 是一个新的 Python 软件包,可以自动处理医疗图像数据,减少修复时间,提高人工智能研究的可复制性. 这个工具使复杂的数据集更容易获得机器学习应用程序.

关键词:
处理数据的数据处理.深度学习是一种深度学习.迪科姆 (Dicom) 是一个电话公司.医学成像医学成像尼夫蒂尼夫蒂尼夫蒂尼夫蒂尼一个无线网络.这是开源的,开源的.

更多相关视频

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

520
Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

404

相关实验视频

Last Updated: May 10, 2026

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
09:41

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

Published on: May 20, 2016

12.0K
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

520
Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

404

科学领域:

  • 医疗成像医学成像
  • 人工智能的人工智能
  • 计算生物学 计算生物学

背景情况:

  • 机器学习 (ML) 和人工智能 (AI) 对推进医学成像分析和患者护理具有重大潜力.
  • 训练强大的ML / AI模型需要大型,精心策划的医疗成像数据集,这带来了重大处理和可访问性挑战.
  • 目前处理复杂医学成像数据的方法往往耗时,并阻碍了AI在临床环境中的广泛采用.

研究的目的:

  • 开发一个开源软件包,Med-ImageTools,可以自动化医疗成像数据的策划和处理.
  • 促进医疗成像研究中的数据处理管道的共享和可重复性.
  • 降低研究人员利用大型医学成像数据集用于ML/AI模型开发的障碍.

主要方法:

  • 开发了Med-ImageTools,这是一个新的Python软件包,旨在用于自动化医疗图像数据处理和处理.
  • 实现了功能来简化数据处理,并使数据处理配置的易于共享.
  • 引入了AutoPipeline功能,用于自动处理来自公共档案的原始临床数据集.

主要成果:

  • 在三个不同的数据集上展示了Med-ImageTools的效率,大大减少了数据处理时间.
  • 验证了软件能够自动化复杂的数据处理和处理任务的能力.
  • 与现有方法相比,在处理速度和效率方面取得了显著的改进.

结论:

  • Med-ImageTools有效地自动化了医疗图像数据的策划和处理,大大减少了时间和精力.
  • 该软件增强了数据的可访问性和可重复性,这对于在医学成像中推进ML/AI至关重要.
  • 自动管道功能使访问大型公共癌症成像数据集变得民主化,使得没有深度领域专业知识的ML研究人员能够准备数据进行分析.