DICE calculation : DICE on label vs subsample of segmentation

None

Parameters

Input_Test: 3D Volume ( input )

Input_segment: 3D Volume ( input )

Atlas_Label: Integer ( input )

One_Cut_per: Integer ( input )

Grid_Orientation: Choice ( input )

Output_dir: Directory ( input )

Technical information

Toolbox : Bioprocessing

User level : 3

Identifier : FFDvsSplSeg

File name : brainvisa/toolboxes/bioprocessing/processes/research/registration/FFD-validation/FFDvsSplSeg.py

Supported file formats :

Input_Test :

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_segment :

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

Output_dir :

Directory, Directory