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Research Based on Fuzzy Algorithm of Cancer Cells in Pleural Fluid Microscopic Images Recognition

机译:基于胸腔流体微观图像识别中癌细胞模糊算法的研究

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This paper introduces a kind of cancer cells in pleural fluid microscopic images processing and fuzzy recognizing method. We propose a method, which firstly segments the image using the OTSU thresholding method and fuzzy edge detection, then extracts 7 measurement parameters i.e. the area rate of the karyon and cytoplasm, the optic density, the shape factor and else, finally uses fuzzy pattern recognition which is based on establishing 6 membership functions and 4 normative modes to recognize the cancer cells. Experiments show that this system provides valuable suggestions to the diagnosis of cancer.
机译:本文介绍了一种胸腔流体微观图像处理和模糊识别方法中的一种癌细胞。我们提出了一种方法,首先使用OTSU阈值方法和模糊边缘检测分段图像,然后提取7个测量参数,即Karyon和细胞质的面积率,光学密度,形状因子,最终使用模糊模式识别这是基于建立6个隶属函数和4种规范模式来识别癌细胞。实验表明,该系统为癌症诊断提供了宝贵的建议。

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