Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images
Indian Institute of Technology Guwahati · Technical University of Munich · +1 more institution
Abstract
Staining and scanning of tissue samples for microscopic examination is fraught with undesirable color variations arising from differences in raw materials and manufacturing techniques of stain vendors, staining protocols of labs, and color responses of digital scanners. When comparing tissue samples, color normalization and stain separation of the tissue images can be helpful for both pathologists and software. Techniques that are used for natural images fail to utilize structural properties of stained tissue samples and produce undesirable color distortions. The stain concentration cannot be negative. Tissue samples are stained with only a few stains and most tissue regions are characterized by at most one…
Citation impact
- FWCI
- 33.57
- Percentile
- 100%
- References
- 46
Authors
10Topics & keywords
- Stain
- Artificial intelligence
- Normalization (sociology)
- Computer science
- Staining
- Optical density
- False color
- Pattern recognition (psychology)