Nuclei images analysis - technology, diagnostic features and experimental study

I. Gurevich, D. Murashov, O. Salvetti, H. Niemann
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引用次数: 0

Abstract

The information technology for automated morphologic analysis of the cytological slides, taken from patients with the lymphatic system tumours, was developed. The main contributions of the paper are the technology, the set of features for representation of nuclei images in pattern recognition problems (automated diagnostics), and experimental study of the technology and the features informativeness. The main components of the technology are: acquisition of cytological slides, method for segmentation of nuclei in the cytological slides, synthesis of the feature based nuclei description for subsequent classification, nuclei image analysis based on pattern recognition and scale-space techniques. The experiments confirmed efficiency of the developed technology. The discussion of the obtained results is given. The developed technology is implemented in the software system.
核图像分析技术、诊断特点和实验研究
对淋巴系统肿瘤患者的细胞学切片进行自动形态学分析的信息技术得到了发展。本文的主要贡献在于模式识别问题(自动诊断)中核图像表示的技术、特征集,以及该技术和特征信息量的实验研究。该技术的主要组成部分是:细胞学切片的获取,细胞学切片中细胞核的分割方法,基于特征的细胞核描述的合成用于后续分类,基于模式识别和尺度空间技术的细胞核图像分析。实验验证了所开发工艺的有效性。对所得结果进行了讨论。所开发的技术在软件系统中得到了实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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