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Updated: Aug 8, 2026

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匹配:从语义相似性角度重新审视弱到强的一致性,用于半监督的医疗图像细分

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    IEEE journal of biomedical and health informatics
    |December 5, 2025
    PubMed
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    用于医疗图像细分的半监督学习 (SSL) 通过S2Match得到了改进,S2Match是一个新的框架,它明确集成了上下文依赖和语义相似性. 这种方法通过有效利用标记和未标记的数据来提高对象细分的准确性.

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    Wilcoxon Signed-Ranks Test for Matched Pairs01:09

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    The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...