This paper presents MaZda software for quantitative image texture analysis. This software,
primarily developed for classification of magnetic resonance images, can be applied for …

Purpose To classify healthy and diseased livers by texture analysis (TA). Materials and
Methods We studied 43 patients divided into four groups according to their clinical stage and …

The difficulty of using magnetic resonance imaging (MRI) to support early diagnosis of
multiple sclerosis (MS) stems from the subtle pathological changes in the central nervous …

Methods for the analysis of digital-image texture are reviewed. The functions of MaZda, a
computer program for quantitative texture analysis developed within the framework of the …

Purpose Texture analysis on 18 F-fluorodeoxyglucose positron emission tomography (18 F-
FDG PET) scan is a relatively new imaging analysis tool to evaluate metabolic …

Purpose: To demonstrate a proof of concept that quantitative texture feature analysis of
double contrast‐enhanced magnetic resonance imaging (MRI) can classify fibrosis …

Purpose To investigate the reproducibility and transferability of texture features between MR
centers, and to compare two feature selection methods and two classifiers. Materials and …

The aim of this study was to develop discriminative models for distinguishing different
cultivars of whole sweet cherries based on the texture parameters determined using image …

We selected 23 patients with unilateral temporal lobe epilepsy characterized by ipsilateral
hippocampal sclerosis and an apparently normal contralateral hippocampus on MR …

BACKGROUND AND PURPOSE: Texture analysis is an image processing technique that
can be used to extract parameters able to describe meaningful features of an image or ROI …