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, BMP image, DICOM image, Répertoire, ECAT i image, ECAT v image, FDF image, FreesurferMGH, FreesurferMGZ, GIF image, GIS image, Hamamatsu ndpi, Hamamatsu vms, Hamamatsu vmu, JPEG image, Leica scn, MINC image, NIFTI-1 image, PBM image, PGM image, PNG image, PPM image, SPM image, Sakura svslide, TIFF image, TIFF image, TIFF(.tif) image, TIFF(.tif) image, VIDA image, Ventana bif, XBM image, XPM image, Zeiss czi, gz compressed MINC image, gz compressed NIFTI-1 image

Output_Directory :

Répertoire, Répertoire

Output_File :

JSON file, JSON file