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通过对比学习提高自动化胸部X光学诊断的公平性

Mingquan Lin1, Tianhao Li1, Zhaoyi Sun1

  • 1From the Departments of Population Health Sciences (M.L., Z.S., F.W., Y.P.) and Radiology (G.S.), Weill Cornell Medicine, 425 E 61st St, New York, NY 10065; Department of Surgery, University of Minnesota, Minneapolis, Minn (M.L.); and School of Information (T.L., Y.D.) and Department of Electrical and Computer Engineering (G.H.), The University of Texas at Austin, Austin, Tex.

Radiology. Artificial intelligence
|August 21, 2024
PubMed
概括

这项研究开发了一种使用监督对比学习 (SCL) 的人工智能模型,以减少胸部放射诊断中的偏差. 该SCL模型在各种子组中显示出显著的偏差减少,提高了AI诊断工具的公平性和可靠性.

关键词:
计算机辅助诊断 (CAD) 是一种计算机辅助诊断.卷积神经网络 (CNN) 是一种神经网络.诊断 诊断 诊断 诊断 诊断监督学习 监督学习胸部 胸部 胸部 胸部

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