ml - Features extraction using feature description file

None

Paramètres

Input_Image: Volume 3D ( entrée )

Input_Feature_Description: Text file ( entrée )

Reshape_Features: Booléen ( input )

Output_Features_Image: Volume 3D ( sortie )

Informations techniques

Toolbox : Bioprocessing

Niveau d'utilisateur : 3

Identifiant : ml_features_extract

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

Supported file formats :

Input_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

Input_Feature_Description :

Text file, Text file

Output_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