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Thyroid cancer cells boundary location by a fuzzy edge detection method

机译:甲状腺癌细胞边界位置采用模糊边缘检测方法

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Morphometric assessment of tumor cells is important in the prediction of biological behavior of thyroid cancer. In order to automate the process, the computer-based system has to recognize the boundary of the cells. Many methods for the boundary detection have appeared in the literature and some of them applied to microscopic slice analysis. However, there is no reliable method since the gray-levels in the nuclei are uneven and are similar to the background. In the paper, a fuzzy edge detection method is used and is based on an improved generalized fuzzy operator. The method enhances the nuclei and effectively separates the cells from the background.
机译:肿瘤细胞的形态测量评估对于预测甲状腺癌的生物学行为是重要的。为了自动化该过程,基于计算机的系统必须识别单元的边界。在文献中出现了许多用于边界检测的方法,其中一些方法应用于微观切片分析。然而,没有可靠的方法,因为核中的灰度是不均匀的并且类似于背景。在本文中,使用模糊边缘检测方法,并基于改进的广义模糊操作员。该方法增强核,并有效地将细胞与背景分离。

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