<ul><li>Accurate brain tissue segmentation in non-human primates (NHPs) is critical for understanding neurological disorders.</li><li>A novel approach utilizing STU-Net with transfer learning enhances segmentation accuracy in NHP brain MRI.</li><li>The method effectively delineates complex tissue boundaries and captures fine anatomical details specific to NHP brains.</li><li>This study introduces a robust method for multi-class brain tissue segmentation in NHPs, benefiting research in evolutionary neuroscience and preclinical studies of neurological disorders.</li></ul>

Nonhuman Primate Brain Tissue Segmentation Using a Transfer Learning Approach

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