MaZda - A software package for image texture analysis

By Piotr M. Szczypiński, Michal Strzelecki, Andrzej Materka, Artur Klepaczko. Comput. Methods Programs Biomed., 2009

696 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Computer Vision and Pattern Recognition, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/d7f81902330c8b4c19d5905264531c3627299ff6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Philippe Lambin

In Computer Vision and Pattern Recognition

1. Philippe Lambin

In Molecular Biology

1. Philippe Lambin

Citations in the corpus

• Radiomics with artificial intelligence: a practical guide for beginners. (2019, neutral): “are MaZda (32), LIFEx (33), PyRadiomics (34),”
• Quantitative radiomics studies for tissue characterization: a review of technology and methodological procedures (2017, methodology): “The “Chang Gung Image Texture Analysis”(76) offers FDG-PET image analysis, while the MaZda package was originally designed for MR images.(77) The commercial packages RADIOMICSTM (OncoRadiomics, Maastricht, Netherlands) and TexRADTM (Feedback plc, Cambridge, UK) have been developed.”
• The role of quantitative PET in predicting cancer treatment outcomes (2014, neutral): “image texture analysis [69].”