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不对称的联合培训与解码器-头解用于半监督的医疗图像分割.

Yuxin Tian, Muhan Shi, Jianxun Li

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

    非对称联合培训 (AsyCo) 通过降低注释成本来增强医疗图像细分. 这种方法提高了预测多样性和训练稳定性,使得使用较少标记的数据获得更可靠的结果.

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