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May, 2023
探究医学图像分析中的标定偏差问题
Towards unraveling calibration biases in medical image analysis
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María Agustina Ricci Lara, Candelaria Mosquera, Enzo Ferrante, Rodrigo Echeveste
TL;DR
本研究探讨了医疗影像分析中的人工智能系统的公平性问题,特别是围绕判定偏见和校准偏见的研究,并展示了通常使用的多种校准指标对样本量存在系统性偏差的情况,如果未考虑到这一点,可能会导致错误的公平性分析。
Abstract
In recent years the development of
artificial intelligence
(AI) systems for
automated medical image analysis
has gained enormous momentum. At the same time, a large body of work has shown that AI systems can syst
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