Appearance Normalization of Histology Slides.

Appearance Normalization of Histology Slides.
复制标题

DOI:
10.1007/978-3-642-15948-0_8
复制
发表时间:
2010
期刊:
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
影响因子:
--
通讯作者:
Thomas, Nancy E.
Thomas, Nancy E.
中科院分区:
其他
文献类型:
--
作者:
Niethammer, Marc;Borland, David;Marron, J. S.;Woosley, John;Thomas, Nancy E.

文献摘要

被引文献

相似文献

本文提出了一种对两种不同试剂染色的数字化组织切片进行颜色和强度自动归一化的方法。与以往的方法相比,在估计过程中使用了关于应变向量的先验信息,从而提高了估计的稳定性。由于苏木素和伊红染色在组织学切片中的普遍存在,所提出的方法具有显著的实用价值。特别是,它可以作为标准化幻灯片外观的第一步,这在对抗由于不同的着色量和方案而产生的影响以及幻灯片褪色方面非常有效。利用合成实验和13个真实数据集对该方法进行了验证。
This paper presents a method for automatic color and intensity normalization of digitized histology slides stained with two different agents. In comparison to previous approaches, prior information on the stain vectors is used in the estimation process, resulting in improved stability of the estimates. Due to the prevalence of hematoxylin and eosin staining for histology slides, the proposed method has significant practical utility. In particular, it can be used as a first step to standardize appearances across slides, that is very effective at countering effects due to differing stain amounts and protocols, and to slide fading. The approach is validated using synthetic experiments and 13 real datasets.