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Updated: May 2, 2026

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具有可解释性的转移学习:使用有限数据集在CT和MR中的肝脏细分.

Pravda J R Prasad, Asmund A Fretland, Fritz Albregtsen

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    概括

    本研究介绍了一种转移学习解决方案,用于使用CT和MR图像上的深度学习 (DL) 来对肝脏进行细分,克服数据限制. 该方法有效地训练模型,在数据和时间资源稀缺时提供可靠的替代方案.

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