Automatic bounding boxes detection

None

Parameters

Input_Scan: Histology scan ( input )

Specy: OpenChoice ( input )

NumberOf_Slices_Per_Scan: Integer ( input )

Scanner_Resolution: Integer ( optional, input )

Check_Slices: Boolean ( input )

Slice_Minimum_Surface: Integer ( optional, input )

Slice_Variation: Float ( optional, input )

Threshold_Computation: Choice ( input )

Output_Directory: Directory ( optional, output )

Output_File: Histology scan bounding boxes ( output )

Technical information

Toolbox : Bioprocessing

User level : 3

Identifier : BoundingBoxHistologicalDetection

File name : brainvisa/toolboxes/bioprocessing/processes/research/toolbox/microscopy/BoundingBoxHistologicalDetection.py

Supported file formats :

Input_Scan :

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

Output_Directory :

Directory, Directory

Output_File :

JSON file, JSON file