By Topic

Distinguishing Cancer and Normal Breast Tissue Autofluorescence Using Continuous Wavelet Transform

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Anita H. Gharekhan ; Department of Physics, C. U. Shah Science College, Gujarat University, Ahmedabad, India ; Siddharth Arora ; Prasanta K. Panigrahi ; Asima Pradhan

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.

Published in:

IEEE Journal of Selected Topics in Quantum Electronics  (Volume:16 ,  Issue: 4 )