A package to simplify common tasks one might perform when interacting with The Cancer Imaging Archive (TCIA) via Jupyter/Python.
Project description
Overview
The tcia_utils package contains functions to simplify common tasks one might perform when interacting with The Cancer Imaging Archive (TCIA) via Jupyter/Python. Learn more about TCIA and its open-access datasets at https://www.cancerimagingarchive.net/. Please be sure to comply with the TCIA Data Usage Policy.
Installation
pip install tcia_utils
Usage
To import functions related to the NBIA software, which holds TCIA's DICOM radiology data:
from tcia_utils import nbia
To import functions related to the PathDB software, which holds TCIA's histopathology data:
from tcia_utils import pathdb
To import functions related to Datacite, which holds metadata and Digital Object Identifiers (DOIs) for TCIA datasets:
from tcia_utils import datacite
Example notebooks demonstrating tcia_utils functionality can be found at https://github.com/kirbyju/TCIA_Notebooks.
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 Distribution
Built Distribution
Hashes for tcia_utils-1.6.6-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 54a773d969afc9ef6c59d0d88281a8fc0ed882909ce345c042804f889f2d261e |
|
MD5 | e607c5d69fc027338985f4b00ef378c6 |
|
BLAKE2b-256 | bee65c4f435a09918b3283a8f332ec77ce30bd11a0453a3854866f150d19b1ea |