SliDL: a Python library of pre- and post-processing tools for applying deep learning to whole-slide images

SliDL is a Python library for performing deep learning image analysis on whole-slide images (WSIs), including deep tissue, artefact, and background filtering, tile extraction, model inference, model evaluation and more.

Please see our tutorial repository to learn how to use SliDL on an example problem from start to finish.

Installing SliDL and its depedencies

SliDL can also be installed via the Python Package Index (PyPI):

pip install slidl

Learning to use SliDL

See our extensive tutorial here.

Documentation

The complete documentation for SliDL including its API reference can be found here.

Disclaimer

Note that this is prerelease software. Please use accordingly.