ml - Classify features image

None

Paramètres

Input_Features_Image: Volume 3D ( entrée )

Classification_Model: Any Type ( entrée )

Classes_Weights: ListOf( Réel ) ( input )

ox_sx_oy_sy_oz_sz: ListOf( Entier ) ( input )

Output_Segmented_Image: Volume 3D ( optional, sortie )

Output_Probas_Image: Volume 3D ( optional, sortie )

Informations techniques

Toolbox : Bioprocessing

Niveau d'utilisateur : 3

Identifiant : ml_classify

Nom de fichier : brainvisa/toolboxes/bioprocessing/processes/research/toolbox/machine_learning/ml_toolbox/ml_classify.py

Supported file formats :

Input_Features_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

Classification_Model :

pickle file, pickle file

Output_Segmented_Image :

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

Output_Probas_Image :

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