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无偏见的公平评价放射学AI模型AI模型

Yuxuan Liang1, Hanqing Chao1, Jiajin Zhang1

  • 1Biomedical Imaging Center, Center for Biotechnology and Interdisciplinary Studies, Department of Biomedical Engineering, Rensselaer Polytechnic Institute, 110 8th, St, Troy, 12180, New York, United States.

Meta-radiology
|July 1, 2024
PubMed
概括

对人工智能模型的传统公平性评估可能会有偏见. 本研究提出了一种新的方法,使用引导来评估少数群体的数据不确定性,确保对不平衡的数据集进行更客观的公平判断.

关键词:
数据不确定性 数据不确定性深度学习是一种深度学习.评估指标评估指标公平的 公平的 公平的医学成像医学成像

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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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