# Epithelium and Stroma Segmentation Framework This framework segments H & E stained histopathology images (Breast Cancer) into Hematoxylin (H) - Epithilum and Eison (E) - Stroma regions. This framework is supervised machine learning (based intesity distribution). This code reads all the images from a given path and segments the epithelium and stroma pixels. Input: Path to the folder Output: Binary image files containing Epithelium and stroma Color image Example Usage: H_and_E_segmentation.py "CodePath" "SourceDataPath" "DestinationDataPath" "FileExtension" : In Canopy: %run "H_and_E_segmentation.py" "EpiStroma_Segmentation/Code/" "InputFolder/" "OutputFolder/" "png" This code works the best when image resolution is approximately 3 mu m/pixel.
humayun/EpiStroma_Segmentation
This python program segment a H&E stained histopathological images into epithelium and stroma regions.
OpenEdge ABLGPL-3.0