| --- |
| license: apache-2.0 |
| tags: |
| - image-to-image |
| pipeline_tag: image-to-image |
| --- |
| |
| # 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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| ## 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 |
| @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} |
| } |
| ``` |
