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https://doi.org/10.14300/mnnc.2019.14142

Extraction of texture features from medical images: osteoarthritis cases review

[Reviews]
Mukti Akter;

Texture features of osteoarthritis quantitatively represent patterns of interest in image analysis and interpretation in medicine. Texture features can widely vary so that the analysis can lead to interpretation errors and undesirable consequences. In such cases, finding of informative features becomes problematic. In medical imaging, the texture features of bones were useful for representing variations in patterns of pixel intensity, which were correlated with pathological changes. In this paper, we review existing approaches to extracting the texture features and conclude on usability, including machine learning.

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Keywords: texture features, osteoarthritis, medical imaging, pattern recognition, machine learning