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, BMP image, DICOM image, Répertoire, ECAT i image, ECAT v image, FDF image, FreesurferMGH, FreesurferMGZ, GIF image, GIS image, Hamamatsu ndpi, Hamamatsu vms, Hamamatsu vmu, JPEG image, Leica scn, MINC image, NIFTI-1 image, PBM image, PGM image, PNG image, PPM image, SPM image, Sakura svslide, TIFF image, TIFF image, TIFF(.tif) image, TIFF(.tif) image, VIDA image, Ventana bif, XBM image, XPM image, 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, BMP image, DICOM image, Répertoire, ECAT i image, ECAT v image, FDF image, FreesurferMGH, FreesurferMGZ, GIF image, GIS image, Hamamatsu ndpi, Hamamatsu vms, Hamamatsu vmu, JPEG image, Leica scn, MINC image, NIFTI-1 image, PBM image, PGM image, PNG image, PPM image, SPM image, Sakura svslide, TIFF image, TIFF image, TIFF(.tif) image, TIFF(.tif) image, VIDA image, Ventana bif, XBM image, XPM image, Zeiss czi, gz compressed MINC image, gz compressed NIFTI-1 image