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Updated: Jan 14, 2026

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提高皮肤损伤分类的公平性,用于医学诊断,使用修剪学习

Kuniko Paxton, Koorosh Aslansefat, Dhavalkumar Thakker

    IEEE journal of biomedical and health informatics
    |January 12, 2026
    PubMed
    概括

    这项研究引入了一种新的公平算法,以减少皮肤色调偏差,用于皮肤病变分类的深度学习模型. 该方法提高了诊断公平性和模型效率,而不需要皮肤色标签.

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