Graph cut based Automatic Prostate Segmentation

We propose a graph cut based automatic method for prostate segmentation using image features, context information and semantic knowledge. A volume of interest (VOI) is first identified using supervoxel oversegmentation and their subsequent classification. All voxels within the VOI are labeled prostate or background using graph cuts. Semantic information… CONTINUE READING