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 …

Dynamic contrast-enhanced magnetic resonance (DCE-MR) of the breast is especially
robust for the diagnosis of cancer in high-risk women due to its high sensitivity. Its specificity …

This paper proposes a multiscale automated model for the classification of suspicious
malignancy of breast masses, through log detrended fluctuation cumulant-based multifractal …

The present study aims to evaluate the effectiveness of the multifractal analysis in classifying
benign and malignant tumor cells on MRI (Magnetic Resonance Imaging) images from …

Scale invariance is a widely used concept to analyze real-world data from many different
applications and multifractal analysis has become the standard corresponding signal …

In this chapter, an attempt has been made to automate the analysis of positive and negative
Tuberculosis (TB) sputum smear images using multifractal approach. The smear images (N …

The aim of this study is the microcalcification segmentation in digital mammograms. We
propose two different methods which are based on the combination of the multifractal …

This work proposes a multifractal analysis of the time series derived from ASL fMRI (Arterial
Spin Labeling functional Magnetic Resonance Imaging) to detect brain activated regions in …

Microscopic examination of stained sputum smears has remained the cornerstone of
pulmonary TB (tuberculosis) diagnosis throughout the world. In this work, an attempt has …

This Thesis describes the research work performed in the scope of a doctoral research
program and presents its conclusions and contributions. The research activities were carried …