Unsupervised Color Decomposition of Histologically Stained Tissue Samples
Abstract
Accurate spectral decomposition is essential for the analysis and diagnosis of histologically stained tissue sections. In this paper we present the first automated system for performing this decompo- sition. We compare the performance of our system with ground truth data and report favorable results.
Cite
Text
Rabinovich et al. "Unsupervised Color Decomposition of Histologically Stained Tissue Samples." Neural Information Processing Systems, 2003.Markdown
[Rabinovich et al. "Unsupervised Color Decomposition of Histologically Stained Tissue Samples." Neural Information Processing Systems, 2003.](https://mlanthology.org/neurips/2003/rabinovich2003neurips-unsupervised/)BibTeX
@inproceedings{rabinovich2003neurips-unsupervised,
title = {{Unsupervised Color Decomposition of Histologically Stained Tissue Samples}},
author = {Rabinovich, Andrew and Agarwal, Sameer and Laris, Casey and Price, Jeffrey H. and Belongie, Serge J.},
booktitle = {Neural Information Processing Systems},
year = {2003},
pages = {667-674},
url = {https://mlanthology.org/neurips/2003/rabinovich2003neurips-unsupervised/}
}