Wavelet and multi-fractal based analysis on DIC images in epithelium region to detect and diagnose the cancer progress among different grades of tissues

Sabyasachi Mukhopadhyay; Nandan K. Das; Asima Pradhan; Nirmalya Ghosh; Prasanta K. Panigrahi

doi:10.1117/12.2051854

8 May 2014 Wavelet and multi-fractal based analysis on DIC images in epithelium region to detect and diagnose the cancer progress among different grades of tissues

Sabyasachi Mukhopadhyay, Nandan K. Das, Asima Pradhan, Nirmalya Ghosh, Prasanta K. Panigrahi

Author Affiliations +

Proceedings Volume 9129, Biophotonics: Photonic Solutions for Better Health Care IV; 91290Z (2014) https://doi.org/10.1117/12.2051854
Event: SPIE Photonics Europe, 2014, Brussels, Belgium

Abstract

DIC (Differential Interference Contrast Image) images of cervical pre-cancer tissues are taken from epithelium region, on which wavelet transform and multi-fractal analysis are applied. Discrete wavelet transform (DWT) through Daubechies basis are done for identifying fluctuations over polynomial trends for clear characterization and differentiation of tissues. A systematic investigation of denoised images is carried out through the continuous Morlet wavelet. The scalogram reveals the changes in coefficient peak values from grade-I to grade-III. Wavelet normalized energy plots are computed in order to show the difference of periodicity among different grades of cancerous tissues. Using the multi-fractal de-trended fluctuation analysis (MFDFA), it is observed that the values of Hurst exponent and width of singularity spectrum decrease as cancer progresses from grade-I to grade-III tissue.

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Sabyasachi Mukhopadhyay, Nandan K. Das, Asima Pradhan, Nirmalya Ghosh, and Prasanta K. Panigrahi "Wavelet and multi-fractal based analysis on DIC images in epithelium region to detect and diagnose the cancer progress among different grades of tissues", Proc. SPIE 9129, Biophotonics: Photonic Solutions for Better Health Care IV, 91290Z (8 May 2014); https://doi.org/10.1117/12.2051854

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