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, and more. It is built with both Tensorflow/Keras and PyTorch backends, with fully cross-compatible TFRecord data storage.
The slideflow package includes a Project class to help coordinate project organization and supervise execution of the pipeline. This documentation starts with a high-level overview of the pipeline, and will include examples of how to execute functions using the Project class. We also provide several tutorials with examples of how Slideflow can be used on your own data.
Overview
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