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Computational pathology toolbox developed by TIA Lab.

Project description

TIA Toolbox

Documentation Status Travis CI Status PyPI Status

Computational Pathology Toolbox developed by TIA Lab

Please try

python -m tiatoolbox -h

Getting Started

First, install OpenSlide here. Then, create and activate the conda environment:

pip

pip install -r requirements.txt

conda

conda env create --name tiatoolbox --file requirements.conda.yml
conda activate tiatoolbox

tiatoolbox --help

usage: tiatoolbox [-h] [--version] [--verbose VERBOSE]
                 {slide_info}
                 ...

positional arguments:
  {slide_info}
    slide_info          usage: python -m tiatoolbox slide_info -h

optional arguments:
  -h, --help            show this help message and exit
  --version             show program`s version number and exit
  --verbose VERBOSE

History

0.2.0 (2020-07-10)

Major and Feature Improvements

  • Adds feature slide_info to read whole slide images and display meta data information
  • Adds multiprocessing decorator TIAMultiProcess to allow running toolbox functions using multiprocessing.

Changes to API

  • None

Bug Fixes and Other Changes

  • Adds Sphinx Readthedocs support https://readthedocs.org/projects/tia-toolbox/ for stable and develop branches
  • Adds code coverage tools to test the pytest coverage of the package
  • Adds deepsource integration to highlight and fix bug risks, performance issues etc.
  • Adds README to allow users to setup the environment.
  • Adds conda and pip requirements instructions

0.1.0 (2020-05-28)

  • First release on PyPI.

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