Segmentation of Brain MRI and Comparison Using Different Approaches of 2D Seed Growing

Automatic segmentation of human brain from MRI scan slices without human intervention is the objective of this paper. The DICOM images are used for segmentation. The Segmentation is the process of extraction of the White matter (WM), Gray matter (GM) and Cerebrospinal Fluid (CSF) from the MRI pictures. Volumetric calculations are carried out on the segmented cortical tissues. The accuracy in determining the volume depends on the correctness of the segmentation algorithm. Two different methods of seed growing are proposed in this paper.

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