Welcome to SliDL’s documentation!

SliDL is a Python library of pre- and post-processing tools for applying deep learning to whole-slide images (WSIs), including deep tissue detection, artefact and background filtering, digital annotation parsing, tile extraction, model inference, model evaluation and more. It supports both classification and segmentation tasks at the tile level.


Installation and tutorial

API reference

Indices and tables