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新框架利用历史数据改进乳腺钼靶检查风险预测

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一个名为 SEM-HD（Single-Exam Mammography risk prediction with privileged History Distillation）的新框架，以利用乳腺钼靶检查数据改进乳腺癌风险预测。该方法在训练过程中利用纵向历史数据作为特权信息，使得模型即使在部署时无法获得先前的检查数据，也能保持预测准确性。通过保留时间建模结构，SEM-HD 在多个数据集上展示了在 AUC 和 pAUC 方面的持续改进，尤其是在低假阳性率下。 AI

影响 该框架有望提高临床环境中乳腺癌风险评估的准确性和效率。

排序理由 该集群包含一篇详细介绍乳腺钼靶检查风险预测新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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新框架利用历史数据改进乳腺钼靶检查风险预测

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该集群包含一篇详细介绍乳腺钼靶检查风险预测新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Banafsheh Karimian, Soufiane Belharbi, Alexis Guichemerre, Luke McCaffrey, Mohammadhadi Shateri, Eric Granger ·

    利用特权历史蒸馏进行乳腺摄影纵向风险预测

    arXiv:2603.15814v2 Announce Type: replace Abstract: Longitudinal mammography screening has become an important source of information for improving future breast cancer risk prediction. However, the performance of current longitudinal mammography models degrades when prior examina…

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