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license: apache-2.0
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---
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---
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license: apache-2.0
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tags:
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- image-to-image
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pipeline_tag: image-to-image
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---
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# BCD-Net Model Card
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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.
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<p align="center">
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<img align="middle" src="./img/demonstration.png" width="500" />
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</p>
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## Original Github repository
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The code and instructions to build the network and make predictions are available at [ Github](https://github.com/Franblueee/BCD-Net).
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## Our paper: Deep Bayesian Blind Color Deconvolution of Histological Images
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For more information about the BCD-Net methodology and training procedure, please have a look at [our paper]().
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## Citation
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If you find our model helpful, please consider citing our paper:
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```bibtex
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@article{,
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title={{D}eep {B}ayesian {B}lind {C}olor {D}econvolution of {H}istological {I}mages},
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author={Shuowen Yang and Fernando Pérez-Bueno and Francisco M. Castro-Macías and Rafael Molina and Aggelos K. Katsaggelos},
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archivePrefix={arXiv},
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primaryClass={},
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year={2023}
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}
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```
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