SPCN - 02 - Model application

None

Paramètres

source_image: Volume 3D ( entrée )

Wt: Numpy Array ( entrée )

Ht: Numpy Array ( entrée )

stain_num: Entier ( input )

iteration: Entier ( input )

thresh: Réel ( input )

lambda1: Réel ( input )

lambda2: Réel ( input )

fast_mode: Booléen ( input )

output: Volume 3D ( sortie )

Informations techniques

Toolbox : Bioprocessing

Niveau d'utilisateur : 3

Identifiant : SPCN-02-model_application

Nom de fichier : brainvisa/toolboxes/bioprocessing/processes/research/projects/color_normalization/SPCN-02-model_application.py

Supported file formats :

source_image :

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

Wt :

Numpy Array, Numpy Array

Ht :

Numpy Array, Numpy Array

output :

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