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---
license: apache-2.0
tags:
- image-to-image
pipeline_tag: image-to-image
---
# BCD-Net Model Card
BCD-Net is a Deep Variational Bayesian Neural Network for the Blind Color Deconvolution (BCD) of histological images. It allows to separate a histological image of any size into the color matrix and the concentration matrices. The weights are released in the format of a PyTorch state dictionary.
## Original Github repository
The code and instructions to build the network and make predictions are available at [ Github](https://github.com/Franblueee/BCD-Net).
## Our paper: Deep Bayesian Blind Color Deconvolution of Histological Images
For more information about the BCD-Net methodology and training procedure, please have a look at [our paper]().
## Citation
If you find our model helpful, please consider citing our paper:
```bibtex
@article{,
title={{D}eep {B}ayesian {B}lind {C}olor {D}econvolution of {H}istological {I}mages},
author={Shuowen Yang and Fernando Pérez-Bueno and Francisco M. Castro-Macías and Rafael Molina and Aggelos K. Katsaggelos},
archivePrefix={arXiv},
primaryClass={},
year={2023}
}
``` |