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Graph-based multi-resolution segmentation of histological whole slide images

机译:基于图的组织学整体幻灯片图像的多分辨率分割

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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 semi-supervised clustering is performed to obtain more accurate segmentation around edges. The proposed segmentation is fully unsupervised by using domain specific knowledge.
机译:在本文中,我们提出了一种基于图的多分辨率方法,用于在乳腺癌组织学整个幻灯片图像中进行有丝分裂提取。提议的分割使用多分辨率方法,该方法可重现病理学家进行的载玻片检查。对每个分辨率级别进行分析时,应将注意力集中在较粗糙的分辨率级别分析上。在每个分辨率级别,执行通过半监督聚类进行的空间细化以获得围绕边缘的更精确的分割。通过使用特定领域的知识,完全可以不受提议的分割的影响。

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