--- 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} } ```