[Volume] Parallel deep learning probability post processing

None

Parameters

Input_Volume: 3D Volume ( input )

Individualized_Volume: 3D Volume ( output )

Output_Volume: 3D Volume ( output )

Radius: Integer ( optional, input )

Min_Area: Integer ( optional, input )

Max_Eccentricity: Float ( optional, input )

Data_Type: Choice ( optional, input )

Overlap: Float ( input )

N_Jobs: Integer ( input )

Technical information

Toolbox : Bioprocessing

User level : 3

Identifier : DLSegmentationPostProcessingParallel

File name : brainvisa/toolboxes/bioprocessing/processes/research/projects/segmentation/DLSegmentationPostProcessingParallel.py

Supported file formats :

Input_Volume :

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 image

Individualized_Volume :

gz compressed NIFTI-1 image, DICOM image, Directory, 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_Volume :

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