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The article with the highest citation rate investigated the use of texture analysis in PET images.
Therefore, use of texture analysis that characterizes the homogeneity of the CT density is effective in characterizing stool [ 25].
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The potential role of texture analysis in liver fibrosis assessment was previously explored in retrospective studies using qualitative [ 26] and quantitative [ 26, 28– 30] texture analysis.
Most methods developed so far for analysing clinical images have used some sort of texture analysis.
This is the standardized method, recommended by EUREF, as the post-processing may introduce image artefacts and may slightly differ from the mammography post-processing as an object-dependent histogram of texture analysis may be used.
Texture synthesis is one application of texture analysis in computer graphics.
Based on these studies and the results of texture analysis modelling described above, tentative explanations for the observed associations between histopathology and CT texture can be proposed.
The main components of texture analysis can be categorized into image transformation and quantification.
These findings are in agreement with the results of texture analysis obtained by nitrogen adsorption method.
To evaluate the ability of texture analysis to differentiate between those tumor types.
Gauss Laguerre (GL) wavelets are used for texture analysis and the positions of 18 fiducial points represent the deformation of the eyes, eyebrows, and mouth.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com