Color-Deconvolution

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Color-Deconvolution

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Color Deconvolution for quantification of histological staining

Color-Deconvolution 최신버젼 다운로드

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# 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

### dateSet Sources : http://bioimage.ucsb.edu/research/bio-segmentation

* 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.

Color-Deconvolution

Color-Deconvolution 최신버젼 다운로드

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Color-Deconvolution

Color-Deconvolution 최신버젼 다운로드

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