A package to simplify common tasks one might perform when interacting with The Cancer Imaging Archive (TCIA) via Jupyter/Python.
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.
pip install tcia_utils
To import functions related to Wordpress, which holds metadata for TCIA datasets:
from tcia_utils import wordpress
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 information about citations 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.
FAQs
A package to simplify common tasks one might perform when interacting with The Cancer Imaging Archive (TCIA) via Jupyter/Python.
We found that tcia-utils demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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