:autogenerated:

histocartography.preprocessing.nuclei_extraction module
=======================================================

.. currentmodule:: histocartography.preprocessing.nuclei_extraction

.. automodule:: histocartography.preprocessing.nuclei_extraction
    :members: CHECKPOINT_PATH, CPU_DEFAULT_BATCH_SIZE, DATASET_TO_BOX_URL, GPU_DEFAULT_BATCH_SIZE, ImageToPatchDataset, NucleiExtractor, process_instance, process_np_hv_channels
    :undoc-members:
    :show-inheritance:
    :member-order: bysource

    Summary
    -------

    Classes:

    .. autosummary::
        :nosignatures:

        ImageToPatchDataset
        NucleiExtractor

    Functions:

    .. autosummary::
        :nosignatures:

        process_instance
        process_np_hv_channels







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}
    }