循环肿瘤细胞的分类和特征在未染色的血液暗场显微镜图像

A. Ciurte, T. Mariţa, R. Buiga
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引用次数: 3

摘要

到目前为止,循环肿瘤细胞(CTCs)是最有希望的肿瘤标志物。它们与总生存率和无病生存率相关,允许早期发现转移过程,监测疾病进展和治疗反应。与目前大多数检测染色血中CTC的方法不同,本文的目的是鉴定未染色血中的CTC,从而为长期监测提供条件。因此,我们的方法是找到表征ctc的最佳特征,并在暗场显微镜图像中将它们与其他血细胞区分开来。提出了直方图统计量、灰度共生矩阵和灰度差矩阵等几种经典纹理特征作为细胞描述符。此外,我们还引入了量化细胞径向均匀性的新特征。该研究针对三种类型的细胞进行:红细胞、白细胞和ctc。我们研究中的图像是在暗场(DF)模式下在10倍和20倍光学放大的显微镜下获得的。根据计算得到的特征设计了多个分类器。对每种特征的性能进行了测试,并进行了排名。最终的分类结果由一组简化的特征给出,这些特征提高了分类器的质量。我们的结果在两种光学放大倍数下的细胞分类准确率都超过98%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Circulating tumor cells classification and characterization in dark field microscopic images of unstained blood
To date, circulating tumor cells (CTCs) are the most promising tumor marker. They correlate with overall survival rate and disease free survival, allowing an early detection of metastatic process, monitoring the disease progression and the treatment response. Different from most state of the art methods that detect CTC's in stained blood, the aim of this paper is to identify CTCs in unstained blood in order to accomplish the conditions for long term monitoring. Thus, our approach is to find the best features that characterize CTCs and discriminate them from other blood cells in dark field microscopic images. Several classic texture features, such as histogram statistics, gray level co-occurrence matrix and gray tone difference matrix, were proposed as cell descriptors. In addition, we introduce new features that quantify the radial homogeneity of the cells. The study was performed for three types of cells: red cells, white cells and CTCs. The images in our study were acquired with a microscope in dark field (DF) mode at 10X and 20X optical magnification. Several classifier were designed based on the computed features. The performance of each type of feature was tested, and ranked. Final classification results are given by a simplified set of features that improve the quality of the classifiers. The accuracy of our results is over 98% for the cell classification in both optical magnifications.
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