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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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## 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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``` |
