Skip to content

mchelali/Color-Deconvolution

Repository files navigation

Color-Deconvolution

Language de programmation : Python 2.7

Libs : numpy, matplotlib, sikit-learn, PySide, OpenCV2

Color Deconvolution for quantification of histological staining

  • Color deconvolution
  • Hue-Saturation-Density
  • FastICA for source separation
  • Breast Cancer Cell: There are about 50 H&E stained histopathology images used in breast cancer cell detection with associated ground truth data available. Routine histology uses the stain combination of hematoxylin and eosin, commonly referred to as H&E. These images are stained since most cells are essentially transparent, with little or no intrinsic pigment. Certain special stains, which bind selectively to particular components, are be used to identify biological structures such as cells. In those images, the challenging problem is cell segmentation for subsequent classification in benign and malignant cells. The ground truth have been obtained for one image containing benign cells.

About

Color Deconvolution for quantification of histological staining

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages