YAREA
Yet Another Radiomic Extraction and Analysis pipeline
A package to extract radiomic features from DICOM CT images.
Installation
$ pip install yarea
(recommended) Create new conda virtual environment
conda create -n yarea python=3.9
conda activate yarea
pip install yarea
Usage
yarea is a tool to perform radiomic feature extraction on DICOM CT images with region of interest (ROI) segmentations as either DICOM SEG or RTSTRUCT.
$ yarea [INPUT DIRECTORY] [OUTPUT DIRECTORY] \
--roi_names [str] \
--pyradiomics_setting [str] \
--negative_controls [str: randomized_full,randomized_roi,randomized_non_roi,shuffled_full,shuffled_roi,shuffled_non_roi] \
--parallel [flag]
--update [flag]
Contributing
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
License
yarea was created by Katy Scott. It is licensed under the terms of the MIT license.
Credits
yarea was created with cookiecutter and the py-pkgs-cookiecutter template.
Metadata
Release files for yarea 0.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| yarea-0.6.0.tar.gz | 14.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| yarea-0.6.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 32.5 kB
Release files / yarea-0.6.0.tar.gz
| Download URL | yarea-0.6.0.tar.gz |
|---|---|
| Size | 14.8 kB |
| Tags | Source |
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Release files / yarea-0.6.0-py3-none-any.whl
| Download URL | yarea-0.6.0-py3-none-any.whl |
|---|---|
| Size | 17.6 kB |
| Tags | Python 3 |
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twine/4.0.2 CPython/3.11.7
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