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Analytic wavelets applied for the detection of microcalcifications. A tool for digital mammography

机译:解析小波用于微钙化的检测。数字乳腺摄影工具

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Computerized methods to detect microcalcifications in digital mammograms are being developed. Parallel to this, Wavelet Transform (WT) has become an important tool in the field of signals and images processing. This paper is devoted to the realisation and evaluation of an Analytic Wavelet Transform (AWT) based algorithm for the detection of microcalcifications. AWT has proved to be an efficient tool to detect singularities in real signals. The presented algorithm exploit the flexibility of the transform to reach any resolution at any spatial frequency. To evaluate the numerical results, Receiver Operating Characteristic (ROC) curves are calculated for several sets of parameters. Results are compared with those obtained with a previously published algorithm using a Discrete Wavelet Transform (DWT).
机译:正在开发检测数字化乳房X线照片中微钙化的计算机化方法。与此平行的是,小波变换(WT)已成为信号和图像处理领域的重要工具。本文致力于实现和评估基于分析小波变换(AWT)的微钙化检测算法。事实证明,AWT是检测实际信号中奇异点的有效工具。提出的算法利用了转换的灵活性,可以在任何空间频率下达到任何分辨率。为了评估数值结果,针对几组参数计算了接收器工作特性(ROC)曲线。将结果与使用离散小波变换(DWT)的以前发布的算法获得的结果进行比较。

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