A package to simplify common tasks one might perform when interacting with The Cancer Imaging Archive (TCIA) via Jupyter/Python.

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  • License: Apache Software License
  • Author: Justin Kirby
  • Requires: Python >=3.7
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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.

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Installation

pip install tcia_utils

Usage

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.

Project details

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These details have been verified by PyPI
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Avatar for kirbyju from gravatar.com kirbyju

Unverified details

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Project links
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  • License: Apache Software License
  • Author: Justin Kirby
  • Requires: Python >=3.7
Classifiers

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