Abstract
A computational technique is proposed in which 2D segmentation is carried out using MRI data to prepare the formation of a 3D model of a brain tumor. The proposed technique is based on: pre-processing of MRI images to reduce noise; increasing brightness and contrast; formation of contours of objects of interest and visualization of the studied areas. The core computational element of the contouring and color coding technique is the Shearlet transform for magnetic resonance imaging (MRI) images.
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