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ProtoMAP:基于原型网络的少样本学习模型在稽留流产预测中的创新 ...
本研究针对稽留流产(Missed Abortion, MA)临床数据稀缺且不平衡的问题,创新性地提出ProtoMAP模型——一种基于原型网络(Prototypical Network)的少样本学习(Few-shot Learning)方法。通过整合多层感知机(MLP)和自注意力机制(Self-attention),该模型在仅需少量样本的情况下实现了 ...
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