DeepAI AI Chat
Log In Sign Up

Wavelet based approach for tissue fractal parameter measurement: Pre cancer detection

03/21/2015
by   Sabyasachi Mukhopadhyay, et al.
0

In this paper, we have carried out the detail studies of pre-cancer by wavelet coherency and multifractal based detrended fluctuation analysis (MFDFA) on differential interference contrast (DIC) images of stromal region among different grades of pre-cancer tissues. Discrete wavelet transform (DWT) through Daubechies basis has been performed for identifying fluctuations over polynomial trends for clear characterization and differentiation of tissues. Wavelet coherence plots are performed for identifying the level of correlation in time scale plane between normal and various grades of DIC samples. Applying MFDFA on refractive index variations of cervical tissues, we have observed that the values of Hurst exponent (correlation) decreases from healthy (normal) to pre-cancer tissues. The width of singularity spectrum has a sudden degradation at grade-I in comparison of healthy (normal) tissue but later on it increases as cancer progresses from grade-II to grade-III.

READ FULL TEXT

page 3

page 4

page 5

05/20/1999

Ensembles of Radial Basis Function Networks for Spectroscopic Detection of Cervical Pre-Cancer

The mortality related to cervical cancer can be substantially reduced th...
10/05/2018

Medical Images Analysis in Cancer Diagnostic

This paper shows results of computer analysis of images in the purpose o...
06/25/2020

Perfusion Quantification from Endoscopic Videos: Learning to Read Tumor Signatures

Intra-operative identification of malignant versus benign or healthy tis...
01/23/2022

Non-decimated 2D Wavelet Spectrum and Its Use in Breast Cancer Diagnostics

To improve diagnostic accuracy of breast cancer detection, several resea...
03/12/2015

Diagnosing Heterogeneous Dynamics for CT Scan Images of Human Brain in Wavelet and MFDFA domain

CT scan images of human brain of a particular patient in different cross...