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"description": "⚡ our fastest tissue segmentation model that produces gray and white matter labels",
"considerations": "min/max normalization",
"parameter_name": "tissue_fast"
},
"subcortical": {
"folder": "model30chan18cls",
"description": "🪓 a robust model that can handle clinical scans and other difficult input volumes producing cortical tissue segmentation accompanied by 15 subcortical regions",
"considerations": "min/max normalization",
"parameter_name": "subcortical"
},
"DKatlas": {
"folder": "model21_104class",
"description": "🔪 segments the brain into the Desikan-Killiany Atlas with 104 labels",