None
ListOf_Input_Image: ListOf( Volume 3D ) ( input )
ListOf_Input_Segmented_Image: ListOf( Graph ) ( input )
Color: Choice ( input )
Neighborhood_Mean: Booléen ( input )
Neighborhood_Variance: Booléen ( input )
Neighborhood_Amplitude: Entier ( optional, input )
Gabor: Booléen ( input )
List_Of_Sigma: ListOf( Réel ) ( optional, input )
List_Of_Theta: ListOf( Réel ) ( optional, input )
List_Of_Lambda: ListOf( Réel ) ( optional, input )
List_Of_Psi: ListOf( Réel ) ( optional, input )
List_Of_Gamma: ListOf( Réel ) ( optional, input )
List_Of_Real: ListOf( Entier ) ( optional, input )
Classes_Weights: ListOf( Réel ) ( input )
N_Trees: Entier ( input )
Output_Model: Any Type ( sortie )
ListOf_Output_Features_Image: ListOf( Volume 3D ) ( output )
Output_Feature_Description: Text file ( sortie )
Toolbox : Bioprocessing
Niveau d'utilisateur : 0
Identifiant :
ml_random_forest_pipelineNom de fichier :
brainvisa/toolboxes/bioprocessing/processes/research/toolbox/machine_learning/ml_random_forest_pipeline.pySupported file formats :
ListOf_Input_Image :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 imageListOf_Input_Segmented_Image :Graph and data, Graph and dataOutput_Model :pickle file, pickle fileListOf_Output_Features_Image :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 imageOutput_Feature_Description :Text file, Text file