基于形状的乳腺肿瘤分形分类

Syed Abdaheer, E. Khan
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引用次数: 7

摘要

本文采用基于FFT的分形分析方法。在基于FFT的方法的帮助下,乳腺肿瘤(良性和恶性)根据其形状进行分类。一般来说,恶性肿瘤轮廓粗糙不规则,而良性肿瘤轮廓光滑,呈大分叶状。本文提出了一种基于分形的傅里叶变换方法来对轮廓进行分类。为了提取用于分类的特征,本研究使用了对数-对数量级频率响应图和玫瑰图(根据平均斜率和截距斜率表示平均径向距离和角度变化)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Shape based classification of breast tumors using fractal analysis
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.
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