Effective abnormality detection and diagnosis in Magnetic Resonance Images (MRIs)
requires a robust segmentation strategy. Since manual segmentation is a time-consuming …

Tissue segmentation in magnetic resonance brain scans is the most critical task in different
aspects of brain analysis. Because manual segmentation of brain magnetic resonance …

This paper focuses on the automatic segmentation of brain tumor in MR image. The first
focus is an algorithm that applies the sparse Bayesian decision theorem combined with the …

This paper focuses on the development of an effective method for brain tumor segmentation
in MR image, which includes two novel approaches. The first approach is an image pre …

MRI brain segmentation plays an increasingly important role in diagnosis and treatment of
diseases. Since MRI segmentation manually consumes valuable human resources, a great …