AI RESEARCH
Segmentation of Gray Matters and White Matters from Brain MRI data
arXiv CS.CV
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ArXi:2603.29171v1 Announce Type: new Accurate segmentation of brain tissues such as gray matter and white matter from magnetic resonance imaging is essential for studying brain anatomy, diagnosing neurological disorders, and monitoring disease progression. Traditional methods, such as FSL FAST, produce tissue probability maps but often require task-specific adjustments and face challenges with diverse imaging conditions. Recent foundation models, such as MedSAM, offer a prompt-based approach that leverages large-scale pre.