DICE calculation : DICE on label vs subsample of segmentation

None

Paramètres

Input_Test: Volume 3D ( entrée )

Input_segment: Volume 3D ( entrée )

Atlas_Label: Entier ( input )

One_Cut_per: Entier ( input )

Grid_Orientation: Choice ( input )

Output_dir: Répertoire ( entrée )

Informations techniques

Toolbox : Bioprocessing

Niveau d'utilisateur : 3

Identifiant : FFDvsSplSeg

Nom de fichier : brainvisa/toolboxes/bioprocessing/processes/research/registration/FFD-validation/FFDvsSplSeg.py

Supported file formats :

Input_Test :

gz compressed NIFTI-1 image, Aperio svs, DICOM image, Répertoire, 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_segment :

gz compressed NIFTI-1 image, Aperio svs, DICOM image, Répertoire, 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

Output_dir :

Répertoire, Répertoire