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Shape based classification of breast tumors using fractal analysis

机译:基于分形分析的基于形状的乳腺肿瘤分类

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In this paper we adopt FFT based fractal analysis method. With the help FFT based method breast tumors (benign and malignant) are classified based on their shapes. In general malignant tumors contour have rough and irregular shapes whereas benign contour have smooth and macrolobulated shapes. In this paper we present a fractal based Fourier transform method to classify the contours. The log -log magnitude frequency response plot and rose plot (for average radial distance and angle variations in terms of average slops and slope of intercept) are used in this study in order to extract the features for classifications.
机译:本文采用基于FFT的分形分析方法。借助基于FFT的方法,乳腺肿瘤(良性和恶性)根据其形状进行分类。通常,恶性肿瘤轮廓具有粗糙和不规则的形状,而良性轮廓具有光滑和大叶的形状。在本文中,我们提出了一种基于分形的傅立叶变换方法对轮廓进行分类。在本研究中,使用对数-对数幅度频率响应图和玫瑰图(针对平均径向距离和角度变化,以平均斜率和截距的斜率表示),以提取分类特征。

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