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Wavelet Analysis of Cell Nuclei from the Papanicolaou Smears Using Standard Deviation Ratios

机译:使用标准偏差比从帕帕内尼乳杆嘴涂抹的细胞核小波分析

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Two techniques of the image analysis of Papanicolaou stains are compared in this paper-standard deviation and standard deviation ratio for cell nuclei. The image analysis is based on diagonal details obtained from multiresolutional analysis using wavelets. Two best wavelets are presented 'coif2' and 'sym1.' Results show the importance of standard deviation ratios and smallest diagonal details for classification of cell together with cell nucleus area. Classification of cells allows rapid discrimination of cells for further analysis of them by cytoscreener.
机译:比较了帕帕内尼索杆污渍的两种技术,并在本文的标准偏差和细胞核的标准偏差率进行了比较。 图像分析基于使用小波从多分辨率分析获得的对角线细节。 两个最好的小波显示在'Coif2'和'sym1'。 结果表明,标准偏差比和最小对角线细节与细胞核区域一起分类的重要性。 细胞的分类允许通过细胞晶片进一步分析细胞的快速判断细胞。

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