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多模式学习可用于可扩展的高维医学数据表示

Areej Alsaafin1, Abubakr Shafique1, Saghir Alfasly1

  • 1Kimia Lab, Department of Artificial Intelligence & Informatics, Mayo Clinic, Rochester, MN, United States.

Frontiers in digital health
|February 13, 2026
PubMed
概括

MarbliX集成人工智能与数字病理学全幻灯片图像和基因组数据用于精准医学. 这种新的框架增强了患者相似性分析,并优于癌症诊断中的现有方法.

关键词:
癌症图像分类癌症的分类.深度学习是一种深度学习.基因组序列的基因组序列多式联运检索多式联运检索病理学家的病理学家整个幻灯片的图像分析.

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The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
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Graphical Representation of Inequalities

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Graphical and Analytic Representation of Sinusoids

Analyzing two sinusoidal voltages with equal amplitude and period but different phases on an oscilloscope, an instrument used to display and analyze waveforms, involves a three-step process.
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