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在有限的乳腺造影数据集中,培训和测试集之间的分类性能偏差在有限的乳腺造影数据集中

Rui Hou1,2, Joseph Y Lo2, Jeffrey R Marks3

  • 1Department of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.

PloS one
|February 7, 2024
PubMed
概括

哺乳镜放射学研究中的数据分割可能会导致性能偏差. 在有限的数据集上训练的模型可能会产生不可靠的结论,强调需要谨慎的测试集选择策略.

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