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首页> 外文期刊>Medical and Biological Engineering and Computing: Journal of the International Federation for Medical and Biological Engineering >A novel approach for efficient extrication of overlapping chromosomes in automated karyotyping
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A novel approach for efficient extrication of overlapping chromosomes in automated karyotyping

机译:一种高效提取自动核型型重叠染色体的新方法

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摘要

Since the introduction of the automated karyotyping systems, segmentation and classification of touching and overlapping chromosomes in the metaphase images are major challenges. The earlier reported techniques for disentangling the chromosome overlaps have limited success and use only color information in case of multispectral imaging. Most of them are restricted to separation of single overlap of two chromosomes. This paper introduces a novel algorithm to extricate overlapping chromosomes in a metaphase image. The proposed technique uses Delaunay triangulation to automatically identify the number of overlaps in a cluster followed by the detection of the appropriate cut-points. The banding information on the overlapped region further resolves the set of overlapping chromosomes with the identified cut-points. The proposed algorithm has been tested with four data sets of 60 overlapping cases, obtained from publically available databases and private genetic labs. The experimental results provide an overall accuracy of 75-100 % for resolving the cluster of 1-6 overlaps.
机译:由于在中期图像中引入自动核型系统,分割和触摸和重叠染色体的分类是主要的挑战。较早的报告用于解开染色体的技术的技术重叠具有有限的成功,并且在多光谱成像的情况下仅使用颜色信息。其中大多数仅限于两个染色体的单一重叠的分离。本文介绍了一种新的算法来在中期图像中提取重叠染色体。所提出的技术使用Delaunay三角测量来自动识别集群中的重叠数,然后检测适当的切片点。关于重叠区域的条带信息还在解决与所识别的切片点的重叠染色体集。所提出的算法已经用来自公开可用的数据库和私人基因实验室获得的四个数据集60个重叠案例进行了测试。实验结果提供了75-100%的整体精度,用于解析1-6重叠的簇。

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