收回:使用卷积神经网络深假图像检测方法的比较分析

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Updated: Aug 2, 2026

Deep Neural Networks for Image-Based Dietary Assessment
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Computational Intelligence And Neuroscience

    Computational intelligence and neuroscience
    |December 11, 2023
    PubMed
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    这篇文章已被撤回. 最初的研究,DOI 10.1155/2021/3111676 标识,不再被认为是有效的或科学记录的一部分.

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    相关概念视频

    Difference from Background: Limit of Detection01:05

    Difference from Background: Limit of Detection

    The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
    The LOD indicates the presence or absence...