… In thyroid imaging, “texture” refers to the echographic … In a more objective texture analysis,
a variety of mathematical … the available literature data on texture analysis, with and without …

… The aim of this study was to test whether texture analysis and machine learning enable the
detection of myocardial infarction (MI) on non–contrast-enhanced low radiation dose cardiac …

… of texture analysis methods combined with machine learning … step, performed by texture
analysis methods, a features … , performed by means of machine learning techniques, in order to …

… In this context, combining the texture analysis with artificial intelligence or machine learning
(… tomography (CT) texture analysis to distinguish benign and malignant renal solid masses. …

… is represented by histopathological analysis after radical prostatectomy. Texture analysis
(TA) is a quantitative postprocessing method for data extraction, while machine learning (ML) …

… Machine learning classifiers trained with texture analysis features are potentially valuable for
detecting malignant tumors in T1-MRI images. Analysis of the learning … a machine learning …

… Texture analysis Texture analysis was performed in all 32 patients and 30 controls by a
reader ([yy], … Texture analysis then was directly performed in MaZda based on the drawn ROIs. …

… In this study, we demonstrate that texture analysis with machine learning can be used to
distinguish different pathologic and normal lymph nodes in the neck with a very high accuracy. …

… Texture analysis is an image processing algorithm for … To date, numerous texture features
have been assessed by … Although the field of quantitative texture analysis is still in its infancy, …

… A texture analysis (TA) is an image analysis technique that allows for the quantification of …
To the best of our knowledge, an analysis of IIMs with texture features derived from muscle …