Objectives Mammographic density is associated with increased risk of developing breast cancer. Automated estimation of density in women below normal screening age would enable earlier risk stratification. We are piloting the use of low dose mammograms combined with models that can make accurate mammographic density estimates.

中文翻译：

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深度学习模型联合预测标准剂量和低剂量图像上的乳腺X线密度

目的乳房 X 光密度与患乳腺癌的风险增加相关。自动估计低于正常筛查年龄的女性的密度将有助于更早进行风险分层。我们正在试点使用低剂量乳房X光检查与可以进行准确的乳房X光密度估计的模型相结合。