Parallel individualization labeled image

None

Paramètres

Input_ListOf_Image: ListOf( Volume 3D ) ( input )

Input_ListOf_BoundingBox: ListOf( Text file ) ( input )

Borders: ListOf( Réel ) ( optional, input )

Thickness: Réel ( input )

Output_ListOf_Volume: ListOf( Volume 3D ) ( output )

Informations techniques

Toolbox : Bioprocessing

Niveau d'utilisateur : 3

Identifiant : ParallelIndividualizeLabeledImage

Nom de fichier : brainvisa/toolboxes/bioprocessing/processes/research/toolbox/ParallelIndividualizeLabeledImage.py

Supported file formats :

Input_ListOf_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_ListOf_BoundingBox :

Minf, Minf

Output_ListOf_Volume :

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