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A Fuzzy-C-Means-Clustering Approach: Quantifying Chromatin Pattern of Non-Neoplastic Cervical Squamous Cells

机译:一种模糊C均值聚类方法:量化非赘生性宫颈鳞状细胞的染色质模式。

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摘要

Despite the effectiveness of Pap-smear test in reducing the mortality rate due to cervical cancer, the criteria of the reporting standard of the Pap-smear test are mostly qualitative in nature. This study addresses the issue on how to define the criteria in a more quantitative and definite term. A negative Pap-smear test result, i.e. negative for intraepithelial lesion or malignancy (NILM), is qualitatively defined to have evenly distributed, finely granular chromatin in the nuclei of cervical squamous cells. To quantify this chromatin pattern, this study employed Fuzzy C-Means clustering as the segmentation technique, enabling different degrees of chromatin segmentation to be performed on sample images of non-neoplastic squamous cells. From the simulation results, a model representing the chromatin distribution of non-neoplastic cervical squamous cell is constructed with the following quantitative characteristics: at the best representative sensitivity level 4 based on statistical analysis and human experts’ feedbacks, a nucleus of non-neoplastic squamous cell has an average of 67 chromatins with a total area of 10.827μm 2; the average distance between the nearest chromatin pair is 0.508μm and the average eccentricity of the chromatin is 0.47.
机译:尽管子宫颈抹片检查可有效降低子宫颈癌的死亡率,但子宫颈抹片检查的报告标准实质上是定性的。这项研究解决了如何以更加定量和明确的方式定义标准的问题。子宫颈涂片检查结果阴性,即上皮内病变或恶性肿瘤(NILM)阴性,定性定义为宫颈鳞状细胞核中的染色质均匀分布均匀。为了量化这种染色质模式,本研究采用模糊C均值聚类作为分割技术,可以对非赘生鳞状细胞的样本图像执行不同程度的染色质分割。根据仿真结果,构建具有以下定量特征的代表非肿瘤宫颈鳞状细胞染色质分布的模型:基于统计分析和人类专家的反馈,在最佳代表性敏感性水平4下,非肿瘤鳞状细胞核细胞平均有67个染色质,总面积为10.827μm 2 ;最接近的染色质对之间的平均距离为0.508μm,染色质的平均偏心率为0.47。

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