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相关概念视频

Transformation01:26

Transformation

26
Microbial communities are dynamic environments where cell lysis releases free DNA into the surroundings. Other cells can take up this extracellular DNA through a process known as transformation.When a cell incorporates this foreign DNA into its genome, resulting in genetic modification, the process is known as transformation. Cells capable of this process are termed competent. Competence can be natural, as observed in certain bacteria and archaea, or artificially induced in the...
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Attribution Theory00:56

Attribution Theory

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Behavior is a product of both the situation (e.g., cultural influences, social roles, and the presence of bystanders) and of the person (e.g., personality characteristics). Subfields of psychology tend to focus on one influence or behavior over others. Situationism is the view that our behavior and actions are determined by our immediate environment and surroundings. In contrast, dispositionism holds that our behavior is determined by internal factors (Heider, 1958).
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Transformers01:26

Transformers

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A device that transforms voltages from one value to another using induction is called a transformer. A transformer consists of two separate coils, or windings, wrapped around the same soft iron core. However, they are electrically insulated from each other.
The iron core has a substantial relative permeability. Therefore, the magnetic field lines generated due to the current in one winding are almost entirely confined within the core, such that the same magnetic flux permeates each turn of both...
1.1K
Source Transformation01:15

Source Transformation

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Source transformation is a fundamental technique employed in circuit analysis, offering a valuable tool for simplifying complex electrical circuits. This technique involves the replacement of either a voltage source in series with a resistor by a current source in parallel with a resistor, or vice versa. The key concept here is that when the original sources are deactivated (turned off), the equivalent resistance at the circuit's end terminals remains the same.
It is essential to note that when...
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Fundamental Attribution Error01:14

Fundamental Attribution Error

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According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
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Perceptual Constancy01:12

Perceptual Constancy

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Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
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相关实验视频

Updated: Jul 15, 2025

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
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使用对抗性潜伏转换进行视觉归属.

Tehseen Zia1, Abdul Wahab1, David Windridge2

  • 1COMSATS University Islamabad, Pakistan; Medical Imaging and Diagnostics Lab, National Center of Artificial Intelligence, Pakistan.

Computers in biology and medicine
|October 1, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了使用对抗性潜伏转换 (VA2LT) 的视觉归属,用于在医学图像中精确地定位疾病指标. VA2LT有效地产生反事实的正常图像,在疾病分析中表现优于现有的方法.

关键词:
域名翻译 域名翻译可解释的人工智能生成性的对抗性网络.医学成像医学成像视觉归属属性 视觉归属属性

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科学领域:

  • 医学成像分析分析 医学成像分析
  • 计算机视觉 计算机视觉 计算机视觉
  • 医疗保健中的人工智能

背景情况:

  • 在医学图像中精确地定位疾病指标对于理解疾病进展和弱监督细分至关重要.
  • 目前的方法依赖于类突出区域或对抗性图像对图像翻译,在捕获所有相关特征方面存在局限性,容易产生数据偏差或产生低效的解决方案.

研究的目的:

  • 提出一种新的方法,使用对抗性潜伏转换 (VA2LT) 的视觉归属,以解决现有疾病指标定位方法的局限性.
  • 在医学图像中准确地定位疾病指标,以改善疾病理解和诊断相关分析.

主要方法:

  • VA2LT采用对抗式学习,通过识别和改变潜伏空间中的差异,从异常图像中生成反事实 (CF) 正常图像.
  • 查询和CF潜伏表示之间的循环一致性被用来指导训练过程.

主要成果:

  • 拟议的VA2LT方法在三个不同的数据集上进行了评估:合成数据集,阿尔茨海默病神经成像计划 (ADNI) 数据集和BraTS数据集.
  • 与基线和相关方法相比,VA2LT在所有评估数据集中表现出优异的性能.

结论:

  • VA2LT为医学成像中的视觉归属和疾病指标定位提供了更有效和更强大的方法.
  • 该方法通过潜伏空间操纵生成CF正常图像的能力,显示出对推进医学图像分析和诊断的重大前景.