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

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

6.5K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
6.5K
Computed Tomography01:10

Computed Tomography

7.6K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
7.6K
Guidelines and Strategies for Safe Computer Charting01:18

Guidelines and Strategies for Safe Computer Charting

1.8K
The guidelines and strategies provided by the American Nurses Association (ANA) and the Canadian Nurses Association (CNA) offer essential principles for ensuring safe and secure computer charting systems in healthcare settings. Let's break down each recommendation:
Maintain Confidentiality and Security:
1.8K

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

Deep learning-based RUL and SOH prediction of lithium-ion batteries using LOCO.

Scientific reports·2026
Same author

Modified Z-algorithms for reckoning fixed points with application to nonlinear integral equations.

PloS one·2026
Same author

An explainable AI framework for enhanced software defect prediction using transformer-assisted boosting.

Scientific reports·2026
Same author

Machine learning-driven image encryption using SVM for enhanced security and computational efficiency.

Scientific reports·2026
Same author

Optimizing hepatitis C diagnosis through reinforcement learning feature selection and multi-model machine learning evaluation.

Scientific reports·2026
Same author

The authors respond to reader comment regarding machine learning models to detect opioid misuse in emergency department patients at triage.

The American journal of emergency medicine·2026

相关实验视频

Updated: Apr 25, 2026

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease
09:06

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Published on: June 9, 2018

12.1K

区块链驱动的医疗图像加密使用混乱的帐地图在云计算中.

Usman Shahid1, Shamsa Kanwal2, Mahwish Bano1

  • 1Department of Mathematics, Air University, Islamabad, Pakistan.

Scientific reports
|February 20, 2025
PubMed
概括

本研究介绍了一个基于区块链的混沌帐地图加密方案 (BCTMES),用于安全的图像传输. 通过将区块链不变性与混乱地图加密相结合,BCTMES提高了公共网络上的数据安全性.

关键词:
区块链 区块链 区块链 区块链混乱的帐地图云计算是一种云计算.图像加密 图像加密主流循环矩阵的矩阵.阴影地图的地图

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

2.6K
Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.2K

相关实验视频

Last Updated: Apr 25, 2026

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease
09:06

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Published on: June 9, 2018

12.1K
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

2.6K
Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.2K

科学领域:

  • 计算机科学 计算机科学
  • 密码学 密码学 密码学 密码学
  • 网络安全 网络安全

背景情况:

  • 在公共网络上的数据安全是数字时代的一个关键问题.
  • 图像数据在使用云服务时特别容易受到攻击和窃听.

研究的目的:

  • 提出一个新的区块链驱动的混沌帐地图加密方案 (BCTMES),用于安全的图像传输.
  • 通过整合区块链和混乱加密来提高云环境中的图像数据的安全性.

主要方法:

  • 图像使用混沌帐地图加密技术进行加密.
  • 加密的图像被上传到云端,在区块链上存储了一个签名的文档.
  • 区块链的共识机制在检索时验证图像的完整性和真实性.

主要成果:

  • 在BCTMES中,安全参数如,相关系数,PSNR,NPCR和UACI的显著改善.
  • 该方案提供了强大的防御由于一个大的密钥大小对暴力攻击.
  • 评估证实了对各种安全威胁的强化弹性和抵抗力.

结论:

  • BCTMES提供了一种全面的解决方案,用于在云环境中安全传输图像.
  • 拟议的方案有效地减轻了与数据完整性和隐私相关的风险.
  • 这项工作为进一步的研究和在安全的基于云的图像处理中的实际应用开辟了道路.