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+.. slideflow documentation master file
+
+.. figure:: https://i.imgur.com/YrsKN4I.jpeg
+
+
+
+Slideflow Documentation
+=======================
+
+Slideflow is a Python package that provides a unified API for building and testing deep learning models for histopathology, supporting both Tensorflow/Keras and PyTorch.
+
+Slideflow includes tools for efficient whole-slide image processing, easy and highly customizable model training with uncertainty quantification (UQ), and a number of functional tools to assist with analysis and interpretability, including predictive heatmaps, mosaic maps, GANs, saliency maps, and more. It is built with both `Tensorflow/Keras <https://www.tensorflow.org/>`_ and `PyTorch <https://pytorch.org>`_ backends, with fully cross-compatible TFRecord data storage.
+
+This documentation starts with a high-level overview of the pipeline and includes examples of how to perform common tasks using the ``Project`` helper class. We also provide several tutorials with examples of how Slideflow can be used and extended for additional functionality.
+
+.. toctree::
+   :maxdepth: 1
+   :caption: Introduction
+
+   installation
+   overview
+   quickstart
+   project_setup
+   datasets_and_val
+   slide_processing
+   training
+   evaluation
+   posthoc
+   uq
+   features
+   mil
+   ssl
+   stylegan
+   saliency
+   segmentation
+   cellseg
+   custom_loops
+   studio
+   troubleshooting
+
+.. toctree::
+   :maxdepth: 1
+   :caption: Developer Notes
+
+   tfrecords
+   dataloaders
+   custom_extractors
+   tile_labels
+   plugins
+
+.. toctree::
+   :maxdepth: 1
+   :caption: API
+
+   slideflow
+   project
+   dataset
+   dataset_features
+   heatmap
+   model_params
+   mosaic
+   slidemap
+   biscuit
+   slideflow_cellseg
+   io
+   io_tensorflow
+   io_torch
+   gan
+   grad
+   mil_module
+   model
+   model_tensorflow
+   model_torch
+   norm
+   simclr
+   slide
+   slide_qc
+   stats
+   util
+   studio_module
+
+.. toctree::
+   :maxdepth: 1
+   :caption: Tutorials
+
+   tutorial1
+   tutorial2
+   tutorial3
+   tutorial4
+   tutorial5
+   tutorial6
+   tutorial7
+   tutorial8
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