[Volume] Deep learning - Convert annotation for segmentation

None

Parameters

Input_Volume: 3D Volume ( input )

Output_Volume: 3D Volume ( output )

Technical information

Toolbox : Bioprocessing

User level : 3

Identifier : DLSegmentationConvertAnnotation

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

Supported file formats :

Input_Volume :

JPEG image, BMP image, GIF image, JPEG image, MNG image, PBM image, PGM image, PNG image, PPM image, TIFF image, TIFF(.tif) image, XBM image, XPM 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