Distinguishing Cancer and Normal Breast Tissue Autofluorescence Using Continuous Wavelet Transform

Gharekhan, Anita H., Arora, Siddharth, Panigrahi, Prasanta K. and Pradhan, Asima (2010) Distinguishing Cancer and Normal Breast Tissue Autofluorescence Using Continuous Wavelet Transform. IEEE Journal of Selected Topics in Quantum Electronics, 16 (4). pp. 893-899.

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Abstract

We study the spectral features of the polarized fluorescence spectra of normal and cancerous human breast tissues through continuous wavelet transform, which clearly identifies distinguishing features between the tissue types. After pinpointing these robust features in the wavelet scalogram, we systematically study the autocorrelation property of the wavelet coefficients of the fluorescence spectra, which is found to differentiate normal and malignant tissues with high sensitivity. The intensity difference of parallel and perpendicularly polarized fluorescence spectra is subjected to investigation, since the same is relatively free of the diffusive background

Item Type: Article
Keywords: management science
Subject(s): Management science
Date Deposited: 01 Dec 2017 11:32
Last Modified: 01 Dec 2017 11:32
Funders: N/A
URI: http://eureka.sbs.ox.ac.uk/id/eprint/6651

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