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Welcome to PathML's documentation!
==================================
.. image:: _static/images/overview.png
``PathML`` is a Python package for computational pathology.
``PathML`` is a toolbox to facilitate machine learning workflows for high-resolution whole-slide pathology
images. This includes modular pipelines for preprocessing, PyTorch DataLoaders for training and benchmarking
machine learning model performance on standardized datasets, support for sharing preprocessing pipelines,
pretrained models, and more.
Development is a collaboration between the AI Operations and Data Science Group in the Department of Informatics
and Analytics at Dana-Farber Cancer Institute and the Department of Pathology and Laboratory Medicine at Weill
Cornell Medicine.
.. image:: _static/images/dfci_cornell_joint_logos.png
.. toctree::
:maxdepth: 2
:caption: Getting Started
overview
installation
.. toctree::
:maxdepth: 2
:caption: Examples
examples/link_loading_images
examples/link_workflow_HE_vignette
examples/link_multiplex_if
examples/link_codex
examples/link_gallery
examples/link_stain_normalization
examples/link_construct_graphs
examples/link_tile_stitching
examples/link_train_hovernet
examples/link_train_hactnet
examples/link_workflow_Inference
examples/link_jco
examples/link_talk_to_pathml
.. toctree::
:maxdepth: 2
:caption: Preprocessing
loading_slides
creating_pipelines
running_pipelines
h5path
.. toctree::
:maxdepth: 2
:caption: Datasets
datasets
.. toctree::
:maxdepth: 2
:caption: Graphs
graphs
.. toctree::
:maxdepth: 2
:caption: Machine Learning
dataloaders
models
.. toctree::
:maxdepth: 2
:caption: Inference
inference
.. toctree::
:maxdepth: 2
:caption: API Reference
api_core_reference
api_preprocessing_reference
api_graph_reference
api_datasets_reference
api_ml_reference
api_utils_reference
api_inference_reference
.. toctree::
:maxdepth: 2
:caption: Contributing
link_contributing
Indices and tables
==================
* :ref:`genindex`
* :ref:`search`