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Updated: Jun 1, 2025

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超越规模和阶级平衡:阿尔法作为深度学习的新数据集质量指标

Josiah Couch1, Rima Arnaout2, Ramy Arnaout3

  • 1Department of Pathology at Beth Israel Deaconess Medical Center (BIDMC), Boston, MA 02215.

ArXiv
|January 20, 2025
PubMed
概括

最大限度地提高数据集的多样性,而不仅仅是大小或平衡,可以改善医学成像的深度学习. 生态多样性的测量,如通用,比传统指标更好地预测模型性能.

关键词:
人工神经网络的人工神经网络计算心脏病学计算心脏病学计算病理学计算病理学计算机视觉 计算机视觉数据集质量数据集质量多样性的多样性多样性的多样性进入的过程中,医学成像医学成像相似之处是相似之处.

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