Mammographic evidence of microenvironment changes in tumorous breasts

Z Marin, KA Batchelder, BC Toner, L Guimond… - Medical …, 2017 - Wiley Online Library
Purpose The microenvironment of breast tumors plays a critical role in tumorigenesis. As
long as the structural integrity of the microenvironment is upheld, the tumor is suppressed. If …

[图书][B] Wavelets in functional data analysis

PA Morettin, A Pinheiro, B Vidakovic - 2017 - Springer
Danger lies not in what we don't know, but in what we think we know that just ain't so. Mark
Twain (1835–1910) The use of wavelets in statistics has received wide attention in the last …

Hidden markov model and multifractal method-based predictive quantization complexity models vis-á-vis the differential prognosis and differentiation of multiple …

Y Karaca, D Baleanu, R Karabudak - Knowledge-Based Systems, 2022 - Elsevier
Abstract Hidden Markov Model (HMM) is a stochastic process where implicit or latent
stochastic processes can be inferred indirectly through a sequence of observed states. HMM …

Condition monitoring of a steam turbine generator using wavelet spectrum based control chart

SJ Bae, BM Mun, W Chang, B Vidakovic - Reliability Engineering & System …, 2019 - Elsevier
Condition-based maintenance (CBM) is designed to take maintenance actions only when
there is an imminent evidence of failure for a monitoring system. The parameters indicating …

Information entropy analysis of a PIV image based on wavelet decomposition and reconstruction

Z Ke, W Zheng, X Wang, M Lin - Entropy, 2024 - mdpi.com
In particle image velocimetry (PIV) experiments, background noise inevitably exists in the
particle images when a particle image is being captured or transmitted, which blurs the …

Fractal and stochastic geometry inference for breast cancer: a case study with random fractal models and Quermass‐interaction process

P Hermann, T Mrkvička, T Mattfeldt… - Statistics in …, 2015 - Wiley Online Library
Fractals are models of natural processes with many applications in medicine. The recent
studies in medicine show that fractals can be applied for cancer detection and the …

Stroke Subtype Clustering by Multifractal Bayesian Denoising with Fuzzy C Means and K‐Means Algorithms

Y Karaca, C Cattani, M Moonis, Ş Bayrak - Complexity, 2018 - Wiley Online Library
Multifractal denoising techniques capture interest in biomedicine, economy, and signal and
image processing. Regarding stroke data there are subtle details not easily detectable by …

2-D wavelet packet spectrum for texture analysis

AM Atto, Y Berthoumieu, P Bolon - IEEE Transactions on Image …, 2013 - ieeexplore.ieee.org
This brief derives a 2-D spectrum estimator from some recent results on the statistical
properties of wavelet packet coefficients of random processes. It provides an analysis of the …

Oil source recognition technology using concentration-synchronous-matrix-fluorescence spectroscopy combined with 2D wavelet packet and probabilistic neural …

XD Huang, CY Wang, XM Fan, JL Zhang… - Science of the total …, 2018 - Elsevier
Developing an accurate, rapid and economic oil source recognition method is essential for
water recourses protection. Concentration-synchronous-matrix-fluorescence (CSMF) …

A 2D wavelet-based multiscale approach with applications to the analysis of digital mammograms

P Ramírez-Cobo, B Vidakovic - Computational Statistics & Data Analysis, 2013 - Elsevier
A wavelet-based multifractal spectrum (MFS) for the analysis of images that possess an
erratically changing oscillatory behavior at various scales is constructed and estimated. The …