Over the last years, fractal and multifractal geometries were applied extensively in many
medical signal (1D, 2D or 3D) analysis applications like pattern recognition, texture analysis …

Understanding how chromatin is spatially and dynamically organized in the nucleus of
eukaryotic cells and how this affects genome functions is one of the main challenges of cell …

Multifractal analysis is considered a promising tool for image processing, notably for texture
characterization. However, practical operational estimation procedures based on a …

Based on multifractal analysis in wavelet pyramids of texture images, a new texture
descriptor is proposed in this paper that implicitly combines information from both spatial …

In this paper, we propose a new texture descriptor for both static and dynamic textures. The
new descriptor is built on the wavelet-based spatial-frequency analysis of two …

Breast cancer is the most common type of cancer among women and despite recent
advances in the medical field, there are still some inherent limitations in the currently used …

Segmentation of suspicious regions (SRs) of a thermal breast image (TBI) is a very
significant and challenging problem for the identification of breast cancer. Therefore, in this …

Interphase chromosomes are organized into discrete chromosome territories (CTs) that may
occupy preferred sub-nuclear positions. While chromosome size and gene density appear to …

Multifractal analysis aims to characterize signals, functions, images or fields, via the
fluctuations of their local regularity along time or space, hence capturing crucial features of …

Multifractal analysis studies signals, functions, images or fields via the fluctuations of their
local regularity along time or space, which capture crucial features of their temporal/spatial …