Abstract
In this paper, we will focus on the Spatial Gray Level Dependence MatricesSGLDM to extract the Haralick’s texture features of the ultrasound breast lesions. This method relies on the manual selection of the region of interest, which results in the dependence of parameters values on the extracted region. For that reason, an improvedSpatial Gray Level Dependence Matrices based on the segmented masses using active contour was applied. This method outperform s the existing SGLDM method because it allows establishing a well determined threshold for the classification of lesions.
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