Literature DB >> 18922598

MaZda--a software package for image texture analysis.

Piotr M Szczypiński1, Michał Strzelecki, Andrzej Materka, Artur Klepaczko.   

Abstract

MaZda, a software package for 2D and 3D image texture analysis is presented. It provides a complete path for quantitative analysis of image textures, including computation of texture features, procedures for feature selection and extraction, algorithms for data classification, various data visualization and image segmentation tools. Initially, MaZda was aimed at analysis of magnetic resonance image textures. However, it revealed its effectiveness in analysis of other types of textured images, including X-ray and camera images. The software was utilized by numerous researchers in diverse applications. It was proven to be an efficient and reliable tool for quantitative image analysis, even in more accurate and objective medical diagnosis. MaZda was also successfully used in food industry to assess food product quality. MaZda can be downloaded for public use from the Institute of Electronics, Technical University of Lodz webpage.

Mesh:

Year:  2008        PMID: 18922598     DOI: 10.1016/j.cmpb.2008.08.005

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  143 in total

1.  [Differential diagnosis of hepatocellular carcinoma and hepatic hemangiomas based on radiomic features of gadoxetate disodium-enhanced magnetic resonance imaging].

Authors:  Mao-Dong Chen; Jing Zhang; Gui-Xiang Yang; Jie-Min Lin; Yan-Qiu Feng
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2018-04-20

2.  Limb Perfusion During Exercise Assessed by Contrast Ultrasound Varies According to Symptom Severity in Patients with Peripheral Artery Disease.

Authors:  Brian P Davidson; James Hodovan; O'Neil R Mason; Federico Moccetti; Avi Gupta; Matthew Muller; J Todd Belcik; Brian H Annex; Jonathan R Lindner
Journal:  J Am Soc Echocardiogr       Date:  2019-06-22       Impact factor: 5.251

3.  Texture analysis of MR images to identify the differentiated degree in hepatocellular carcinoma: a retrospective study.

Authors:  Mengmeng Feng; Mengchao Zhang; Yuanqing Liu; Nan Jiang; Qian Meng; Jia Wang; Ziyun Yao; Wenjuan Gan; Hui Dai
Journal:  BMC Cancer       Date:  2020-06-30       Impact factor: 4.430

4.  Effect of frying temperature and time on image characterizations of pellet snacks.

Authors:  Toktam Mohammadi Moghaddam; Maryam BahramParvar; Seyed M A Razavi
Journal:  J Food Sci Technol       Date:  2014-04-17       Impact factor: 2.701

5.  IBEX: an open infrastructure software platform to facilitate collaborative work in radiomics.

Authors:  Lifei Zhang; David V Fried; Xenia J Fave; Luke A Hunter; Jinzhong Yang; Laurence E Court
Journal:  Med Phys       Date:  2015-03       Impact factor: 4.071

6.  AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics.

Authors:  Isabella Castiglioni; Francesca Gallivanone; Paolo Soda; Michele Avanzo; Joseph Stancanello; Marco Aiello; Matteo Interlenghi; Marco Salvatore
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-07-11       Impact factor: 9.236

7.  Normative values for CT-based texture analysis of vertebral bodies in dual X-ray absorptiometry-confirmed, normally mineralized subjects.

Authors:  Manoj Mannil; Matthias Eberhard; Anton S Becker; Denise Schönenberg; Georg Osterhoff; Diana P Frey; Ender Konukoglu; Hatem Alkadhi; Roman Guggenberger
Journal:  Skeletal Radiol       Date:  2017-08-06       Impact factor: 2.199

8.  Radiomics in RayPlus: a Web-Based Tool for Texture Analysis in Medical Images.

Authors:  Rong Yuan; Shuyue Shi; Junhui Chen; Guanxun Cheng
Journal:  J Digit Imaging       Date:  2019-04       Impact factor: 4.056

9.  A Comparative Texture Analysis Based on NECT and CECT Images to Differentiate Lung Adenocarcinoma from Squamous Cell Carcinoma.

Authors:  Han Liu; Bin Jing; Wenjuan Han; Zhuqing Long; Xiao Mo; Haiyun Li
Journal:  J Med Syst       Date:  2019-02-01       Impact factor: 4.460

10.  Non-Hodgkin lymphoma response evaluation with MRI texture classification.

Authors:  Lara C V Harrison; Tiina Luukkaala; Hannu Pertovaara; Tuomas O Saarinen; Tomi T Heinonen; Ritva Järvenpää; Seppo Soimakallio; Pirkko-Liisa I Kellokumpu-Lehtinen; Hannu J Eskola; Prasun Dastidar
Journal:  J Exp Clin Cancer Res       Date:  2009-06-22
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