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Thyroid cancer cells boundary location by a fuzzy edge detectionmethod

机译:甲状腺癌细胞边界定位的模糊边缘检测方法

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Morphometric assessment of tumor cells is important in theprediction of biological behavior of thyroid cancer. In order toautomate the process, the computer-based system has to recognize theboundary of the cells. Many methods for the boundary detection haveappeared in the literature and some of them applied to microscopic sliceanalysis. However, there is no reliable method since the gray-levels inthe nuclei are uneven and are similar to the background. In the paper, afuzzy edge detection method is used and is based on an improvedgeneralized fuzzy operator. The method enhances the nuclei andeffectively separates the cells from the background
机译:肿瘤细胞的形态计量学评估在 甲状腺癌生物学行为的预测。为了 自动化过程,基于计算机的系统必须识别 细胞的边界。边界检测的许多方法有 出现在文献中,其中一些应用于显微切片 分析。但是,由于存在灰度级,因此没有可靠的方法。 原子核是不均匀的,并且与背景相似。在本文中, 基于改进的模糊边缘检测方法 广义模糊算子。该方法增强了细胞核, 有效地将细胞与背景分离

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