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相关概念视频

Imaging Studies I: Kidney, Ureter, and Bladder Studies01:28

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Kidney, Ureter, and Bladder (KUB) StudiesKidney, Ureter, and Bladder (KUB) studies are standard diagnostic imaging procedures used to assess the anatomy of the urinary system. They are commonly utilized for patients experiencing abdominal pain or urinary symptoms. By using a simple X-ray of the abdomen, KUB studies can reveal structural and pathological abnormalities within the kidneys, ureters, and bladder. These studies are particularly valuable in diagnosing kidney stones, urinary...
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Imaging Studies VII: Vascular Imaging01:19

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DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
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相关实验视频

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Multi-photon Imaging of Tumor Cell Invasion in an Orthotopic Mouse Model of Oral Squamous Cell Carcinoma
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通过混合进化方法和图像处理检测瘤的智能物联网

Yan Gao1

  • 1School of Electrical and Mechanical Engineering, Xuchang University, Xuchang, 461000, Henan, China. sherley1982@sina.com.

Scientific reports
|August 24, 2025
PubMed
概括

这项研究引入了一个用于高效检测脑瘤的雾计算框架,通过增强的进化技术 (HETS-IP) 优化数据放置,以减少能源和更快的处理. 该系统在分类瘤方面达到97%的准确性.

科学领域:

  • 医学成像和诊断
  • 计算机科学与工程
  • 医疗信息学

背景情况:

  • 现代医疗保健系统的目标是通过高效,可靠的解决方案,推动进步和复杂性来改善公共卫生.
  • 医疗保健服务的扩展带来了诸如高数据量,延迟和安全漏洞等挑战.
  • 雾计算提供了一个解决方案,通过处理更接近终端设备的数据,减少延迟并实现实时响应.

研究的目的:

  • 在基于雾的智能医疗基础设施中提出一个强大的脑瘤检测框架.
  • 使用基于能源效率和延迟的改进图像处理技术 (HETS-IP) 来优化雾节点的放置.
  • 通过在雾节点直接执行框架来增强瘤检测的实时处理.

主要方法:

  • 使用HETS-IP进行数据配置优化,这是一种带有直接二进制编码的增强型粒子群优化 (PSO).
  • 脑瘤检测框架包括预处理 (双边过器),特征提取 (统计纹理特征) 和分类 (深度卷积神经网络 - CNN).
  • 对传统进化算法 (ACO,GASA,GA) 的HETS-IP的比较分析.

主要成果:

  • 在模拟中,HETS-IP表现优于ACO,GASA和GA.
  • 与其他算法相比,HETS-IP实现了能源消耗的平均降低 (5-14%) 和产能的平均降低 (4-11%).
关键词:
数据的位置雾计算图像处理物联网瘤检测

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  • 提出的方法在脑瘤检测方面达到了97%的高准确度和96%的精度.

    • 结论:

    • 开发的基于雾的框架有效地解决了大脑瘤检测的智能医疗挑战.
    • 通过HETS-IP,可显著提高雾节点的能源效率和处理时间.
    • 该框架可确保高度可靠和准确的脑瘤分类,对于及时的医疗干预至关重要.