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相关概念视频

Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...

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相关实验视频

Updated: Jul 8, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
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纹理分析的二维增量:理论验证和适用于结肠癌图像的应用.

Muqaddas Abid1, Muhammad Suzuri Hitam1, Rozniza Ali1

  • 1Faculty of Computer Science and Mathematics, Universiti Malaysia Terengganu, Kuala Terengganu 21030, Malaysia.

Entropy (Basel, Switzerland)
|January 24, 2025
PubMed
概括

我们为图像纹理分析引入二维增量 (IncrEn2D). 这种新的方法在分类纹理和医疗图像方面优于现有的技术.

关键词:
生物医学成像成像技术多层次的增量.质地分析,质地分析.纹理不规则性 纹理不规则性二维增量的二维增量.

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科学领域:

  • 图像分析 图像分析
  • 质地特征表征 质地特征表征
  • 的措施 的措施

背景情况:

  • 算法量化数据的不规则性,在二维图像分析中至关重要.
  • 一维增量有效地检测信号变化.
  • 现有的二维度测量在纹理分析方面存在局限性.

研究的目的:

  • 为图像纹理分析引入一种新的二维增量 (IncrEn2D).
  • 用两个字母表示大小和方向的词来编码图像增量.
  • 评估IncrEn2D的性能与已建立的二维方法相比.

主要方法:

  • 开发了IncrEn2D,通过将图像增量翻译成两个字母的单词.
  • 应用IncrEn2D到MIX (p) 工艺,合成纹理,Kylberg数据集和医学图像.
  • 为了验证,使用了具有多尺度特征的支向量机.

主要成果:

  • IncrEn2D有效地分析图像纹理和医疗图像.
  • 在各种数据集上的实验验证证明了IncrEn2D的功能.
  • 对比分析显示,IncrEn2D的分类准确度高于SampEn2和DispEn2.

结论:

  • IncrEn2D是一个强大的新工具,用于图像分析和纹理表征.
  • 与现有的二维测量相比,IncrEn2D提供了更高的性能.
  • 该方法对医学图像分析及其他领域的应用具有前景.