A low cost approach for brain tumor segmentation based on intensity modeling and 3D Random Walker
An unsupervised, low cost, hybrid approach for brain tumor segmentation is proposed. Global intensity modeling and local intensity variation are incorporated. Applicability to different malignancy grades. Our approach requires only routine MRI. This study might provide a decision-support tool for neoplastic tissue segmentation.
tumor segmentation outlier detection random walks brain neoplasms magnetic resonance imaging (mri)