Université de Caen Basse-Normandie, Caen, France.
Comput Med Imaging Graph. 2011 Oct-Dec;35(7-8):603-15. doi: 10.1016/j.compmedimag.2011.02.005. Epub 2011 May 19.
In this paper, we present a graph-based multi-resolution approach for mitosis extraction in breast cancer histological whole slide images. The proposed segmentation uses a multi-resolution approach which reproduces the slide examination done by a pathologist. Each resolution level is analyzed with a focus of attention resulting from a coarser resolution level analysis. At each resolution level, a spatial refinement by label regularization is performed to obtain more accurate segmentation around boundaries. The proposed segmentation is fully unsupervised by using domain specific knowledge.
在本文中，我们提出了一种基于图的多分辨率方法，用于提取乳腺癌组织学全切片图像中的有丝分裂。所提出的分割使用多分辨率方法，该方法再现了病理学家进行的幻灯片检查。在每个分辨率级别上，都使用来自较粗分辨率级别的分析的关注焦点来进行分析。在每个分辨率级别上，通过标签正则化进行空间细化，以在边界周围获得更准确的分割。通过使用特定于领域的知识，所提出的分割是完全无监督的。
