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Wavelet transform of breast tissue fluorescence spectra: a technique for diagnosis of tumors

机译:乳腺组织荧光光谱的小波变换:一种诊断肿瘤的技术

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摘要

Polarized fluorescence spectra of malignant, benign, and normal human breast tissues in the emission range of 500-700 nm, with an excitation wavelength of 488 nm, are analyzed through discrete wavelet transform. The multiresolution and localization properties of the wavelets are shown to be ideally suited for identifying characteristic features distinguishing these tissue types. Analysis of a number of data sets, belonging to both parallel and perpendicular polarized spectra, have led to several key distinctions between different tumors and corresponding normal breast tissues, revealing the usefulness of polarized fluorescence in the diagnosis of tumors. Wavelet transform also naturally leads to the dimensional reduction of the data set, in the form of low-pass coefficients, making it amenable for physical modeling.
机译:通过离散小波变换分析了500-700nm的发射范围内的恶性,良性和正常人乳腺组织的偏振荧光组织,其激发波长为488nm。小波的多分辨率和定位特性被示出理想地适用于识别区分这些组织类型的特征特征。分析属于平行和垂直偏振光谱的许多数据集,导致不同肿瘤和相应的正常乳腺组织之间的几个关键区别,揭示了偏振荧光在肿瘤诊断中的有用性。小波变换也自然导致数据集的尺寸减少,以低通系数的形式,使其适用于物理建模。

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