Skip to main content

A SDK for tumour study

Project description

TumourKit

pyversion torchversion dglversion

Python package from my Bachelor's thesis. It is dedicated to aid in the study of tumours.

Installation

Just do:

pip install tumourkit

It's that simple, dependencies will be automatically installed and several command line scripts will be readily available. It is recommended that you install it inside a virtual environment, for that, type in a shell:

python -m venv [ENV_NAME]
source [ENV_NAME]/bin/activate
pip install tumourkit

Main features

With this package you'll be able to easily convert between different data formats, train models and make inference. As an example, if you want to convert GeoJSON data exported from QuPath into the standard PNG / CSV format you can simply type:

geojson2pngcsv --gson-dir [...] --png-dir [...] --csv-dir [...]

Substituting the dots by the input and output folders respectively.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

tumourkit-0.1.4-py3-none-any.whl (271.3 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page