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English(EN) One-Slide Calibration of Pathology Foundation Models

新方法可针对扫描仪差异校准病理基础模型

研究人员开发了SlideRuler,一种针对扫描仪差异校准病理基础模型的新颖方法。该技术使用单张切片内的区域作为内部对照,以纠正采集引起的偏移,从而在不同成像系统之间实现更一致的模型性能。SlideRuler学习的迁移图将嵌入距离减少了高达38.5%,并显示出积极的同切片贡献,为可靠使用固定的病理模型提供了途径。 AI

影响 能够更一致、更可靠地在不同成像硬件的病理学中使用AI模型。

排序理由 这是一篇详细介绍新AI模型校准方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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新方法可针对扫描仪差异校准病理基础模型

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这是一篇详细介绍新AI模型校准方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Ming Ren Hou, Tianyi Huang ·

    病理基础模型的单页校准

    arXiv:2610.08944v1 Announce Type: new Abstract: Scanner variation changes how pathology foundation models represent the same tissue. We introduce SlideRuler, which uses regions within a slide as internal controls to estimate and correct acquisition-induced shifts in other regions…