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Updated: Jun 15, 2026

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半监督学习允许通过使用多中心MRI数据来改善细分,减少大脑转移的注释.

Jon André Ottesen1,2, Elizabeth Tong3, Kyrre Eeg Emblem4,5

  • 1Computational Radiology and Artificial Intelligence (CRAI) Research Group, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.

Journal of magnetic resonance imaging : JMRI
|January 10, 2025
PubMed
概括

半监督学习通过利用未标记的数据显著提高了大脑转移的细分精度. 这种方法增强了深度学习模型,减少了对广泛专家注释的需求,并改善了跨不同数据集的性能.

关键词:
大脑转移是大脑转移.深度学习是一种深度学习.细分化 细分化的细分化半监督 半监督 半监督

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