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Updated: Jun 24, 2025

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医学图像分类中的阶级不平衡:朝着更好的差别和校准性能评估实践的方向

Candelaria Mosquera1,2, Luciana Ferrer3, Diego H Milone4

  • 1Hospital Italiano de Buenos Aires, Buenos Aires, Argentina. candelaria.mosquera@hospitalitaliano.org.ar.

European radiology
|June 11, 2024
PubMed
概括

医学成像分类器的标准评估指标,特别是胸部X射线,往往忽视了阶级不平衡. 这项研究表明,这些做法可以掩盖少数群体的表现不佳,影响临床决策. 为了更好的准确性,提出了新的指标.

关键词:
计算机辅助诊断是一种计算机辅助诊断.深度学习是一种深度学习.机器学习 机器学习流行程度 流行程度这是X射线.

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相关概念视频

Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
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