基于种子点的核团几何分割
Seed-Point Based Geometric Partitioning of Nuclei Clumps
摘要：
当应用细胞的荧光或组织病理学图像的自动分析时，有必要对部分重叠的细胞核进行分区或去块。在这项工作中，我描述了一种方法分区部分重叠的细胞核使用种子点为基础的几何分区。几何分割创建两种不同类型的切割，两个边界顶点之间的切割和一个边界顶点和引入到边界内部的新顶点之间的切割。然后根据评分度量对切割进行排名，并且使用最高评分的切割。该方法在一组2420块细胞核上进行了测试，发现其结果优于当前流行的分析软件。
英文摘要：
When applying automatic analysis of fluorescence or histopathological images of cells, it is necessary to partition, or de-clump, partially overlapping cell nuclei. In this work, I describe a method of partitioning partially overlapping cell nuclei using a seed-point based geometric partitioning. The geometric partitioning creates two different types of cuts, cuts between two boundary vertices and cuts between one boundary vertex and a new vertex introduced to the boundary interior. The cuts are then ranked according to a scoring metric, and the highest scoring cuts are used. This method was tested on a set of 2420 clumps of nuclei and was found to produced better results than current popular analysis software.
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