Metadata-Version: 2.1
Name: tcia_utils
Version: 1.1.1
Summary: A package to simplify common tasks one might perform when interacting with The Cancer Imaging Archive (TCIA) via Jupyter/Python.
Project-URL: Homepage, https://github.com/kirbyju/tcia_utils
Project-URL: Bug Tracker, https://github.com/kirbyju/tcia_utils/issues
Author-email: Justin Kirby <justin.kirby@nih.gov>
License-File: LICENSE
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
Requires-Dist: ipywidgets
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: pydicom
Requires-Dist: requests
Description-Content-Type: text/markdown

# Overview
This 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/.

# Installation
```
pip install tcia_utils
```

# Usage
To import functions related to the NBIA software that holds TCIA's DICOM data:
```
from tcia_utils import nbia
```
Example notebooks demonstrating tcia_utils functionality can be found at https://github.com/kirbyju/TCIA_Notebooks.
