A SDK for tumour study
Project description
TumourKit
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
File details
Details for the file tumourkit-0.1.4-py3-none-any.whl
.
File metadata
- Download URL: tumourkit-0.1.4-py3-none-any.whl
- Upload date:
- Size: 271.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 040e21584d1a77a4eaa3259609b392edc18cf36cb67a192d3b40628ba034b5fc |
|
MD5 | 16b9a73e60d7430dd2bf876a0a3ba7ac |
|
BLAKE2b-256 | 23b60ce685e99e226d62cfc2fae359b186937029a9556e2dbed6f154c60933ca |