:autogenerated:

histocartography.interpretability package
=========================================

.. automodule:: histocartography.interpretability
    


    Submodules:

    .. toctree::
       :maxdepth: 1

       histocartography.interpretability.base_explainer
       histocartography.interpretability.grad_cam
       histocartography.interpretability.graph_pruning_explainer
       histocartography.interpretability.lrp_gnn_explainer



    Summary
    -------

    ``__all__`` Classes:


    .. list-table::
    
       * - :class:`GraphGradCAMExplainer <histocartography.interpretability.grad_cam.GraphGradCAMExplainer>`
         - Explain a graph with GradCAM.
       * - :class:`GraphGradCAMPPExplainer <histocartography.interpretability.grad_cam.GraphGradCAMPPExplainer>`
         - Explain a graph with GradCAM++.
       * - :class:`GraphLRPExplainer <histocartography.interpretability.lrp_gnn_explainer.GraphLRPExplainer>`
         - Layerwise-Relevance Propagation.
       * - :class:`GraphPruningExplainer <histocartography.interpretability.graph_pruning_explainer.GraphPruningExplainer>`
         - Base pipelines step
    



Reference
---------
If you use `histocartography` in your projects, please cite the following:

.. code-block:: python

    @inproceedings{pati2021,
        title = {Hierarchical Graph Representations for Digital Pathology},
        author = {Pushpak Pati, Guillaume Jaume, Antonio Foncubierta, Florinda Feroce, Anna Maria Anniciello, Giosuè Scognamiglio, Nadia Brancati, Maryse Fiche, Estelle Dubruc, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Jean-Philippe Thiran, Maria Frucci, Orcun Goksel, Maria Gabrani},
        booktitle = {https://arxiv.org/pdf/2102.11057},
        year = {2021}
    }