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  license: apache-2.0
 
 
 
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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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+ ```