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相关概念视频

Cross Product01:25

Cross Product

237
The cross product is a fundamental concept in vector algebra that is a vector operation on two different vectors to obtain a third vector. Unlike the scalar product, the cross product results in a vector quantity perpendicular to both the original vectors.
The magnitude of the cross product is obtained by multiplying the magnitude of both the vectors and the sine of the angle between them. This means that a larger angle between the vectors will lead to a greater magnitude of the cross product.
237
Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

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Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...
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Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

4.6K
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...
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Nonconscious Mimicry01:13

Nonconscious Mimicry

4.5K
Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
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Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

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It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a...
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Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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相关实验视频

Updated: Jun 17, 2025

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
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跨模式的子图像检索使用对比的多式模式图像表示.

Eva Breznik1,2, Elisabeth Wetzer3,4, Joakim Lindblad1

  • 1Department of Information Technology, Uppsala University, 751 05, Uppsala, Sweden.

Scientific reports
|August 13, 2024
PubMed
概括

我们开发了一种基于内容的图像检索 (CBIR) 系统,用于跨模式的医学图像搜索. 该系统有效地检索不同成像类型的相似图像,改善癌症诊断和组织特征.

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相关实验视频

Last Updated: Jun 17, 2025

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

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Published on: October 27, 2023

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Cross-Modal Multivariate Pattern Analysis
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科学领域:

  • 医学成像分析分析 医学成像分析
  • 计算病理学计算病理学
  • 生物医学信息学是生物医学信息学.

背景情况:

  • 多式成像对于组织特征和癌症诊断至关重要.
  • 计算方面的进步使得在大型医疗数据集中能够发现模式.
  • 对于多式联运数据,需要有效和可扩展的图像检索方法.

研究的目的:

  • 开发一个独立于应用程序的基于内容的图像检索 (CBIR) 系统,用于跨模式的反向 (子) 图像搜索.
  • 为了提高在不同成像模式中检索类似图像的效率和可靠性.

主要方法:

  • 结合深度学习用于模态不变表示生成,具有特征提取和词包模型.
  • 开发了一个基于内容的跨模式图像检索 (CBIR) 系统.
  • 使用亮场和第二波代显微镜图像的数据集来评估系统.

主要成果:

  • 拟议的CBIR系统与现有的交叉模式 (子) 图像检索方法相比,显示出更高的性能.
  • 该研究强调了等差和不变性质在学习的表示和特征提取器中的重要性.
  • 该系统有效地将不同的成像模式嵌入到一个共同的表示空间中.

结论:

  • 开发的CBIR系统为医疗应用中的跨模式图像检索提供了高效可靠的解决方案.
  • 这些发现支持使用深度学习和强大的特征提取来推进多式联络医疗图像分析.
  • 这种方法有可能通过改进的图像搜索功能来增强癌症诊断和组织特征.