Automatic bounding boxes detection

None

Paramètres

Input_Scan: Histology scan ( entrée )

Specy: OpenChoice ( input )

NumberOf_Slices_Per_Scan: Entier ( input )

Scanner_Resolution: Entier ( optional, input )

Check_Slices: Booléen ( input )

Slice_Minimum_Surface: Entier ( optional, input )

Slice_Variation: Réel ( optional, input )

Threshold_Computation: Choice ( input )

Output_Directory: Répertoire ( optional, sortie )

Output_File: Histology scan bounding boxes ( sortie )

Informations techniques

Toolbox : Bioprocessing

Niveau d'utilisateur : 3

Identifiant : BoundingBoxHistologicalDetection

Nom de fichier : brainvisa/toolboxes/bioprocessing/processes/research/toolbox/microscopy/BoundingBoxHistologicalDetection.py

Supported file formats :

Input_Scan :

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

Output_Directory :

Répertoire, Répertoire

Output_File :

JSON file, JSON file