Color segmentation: class selection

None

Parameters

Input_Image: 3D Volume ( input )

Input_Model: Text file ( input )

Selection: ListOf( Choice ) ( input )

Output_Directory: Directory ( optional, output )

Output_Image: 3D Volume ( output )

Technical information

Toolbox : BrainRAT

User level : 3

Identifier : SegmentationModelClassSelection

File name : brainvisa/toolboxes/brainrat/processes/agregatesegmentation/SegmentationModelClassSelection.py

Supported file formats :

Input_Image :

gz compressed NIFTI-1 image, Aperio svs, DICOM image, Directory, ECAT i image, ECAT v image, FDF image, FreesurferMGH, FreesurferMGZ, GIS image, Hamamatsu ndpi, Hamamatsu vms, Hamamatsu vmu, JPEG image, Leica scn, MINC image, NIFTI-1 image, SPM image, Sakura svslide, TIFF image, TIFF image, TIFF(.tif) image, TIFF(.tif) image, Ventana bif, Zeiss czi, gz compressed MINC image, gz compressed NIFTI-1 image

Input_Model :

Text file, Text file

Output_Directory :

Directory, Directory

Output_Image :

gz compressed NIFTI-1 image, DICOM image, Directory, ECAT i image, ECAT v image, FDF image, GIS image, JPEG image, MINC image, NIFTI-1 image, SPM image, TIFF image, TIFF(.tif) image, gz compressed MINC image, gz compressed NIFTI-1 image