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Rationale and Objectives. Manual segmentation of brain tumors from magnetic resonance images is a challenging and time-consuming task. An automated system has been developed for brain tumor segmentation that will provide objective, reproducible segmentations that are close to the manual results. Additionally, the method segments white matter, grey matter, cerebrospinal fluid, and edema. The segmentation of pathology and healthy structures is crucial for surgical planning and intervention.doi:10.1016/s1076-6332(03)00506-3 pmid:14697002 pmcid:PMC2430604 fatcat:tayzonl4pff4znrpmg6wzkriza