Metadata-Version: 2.4
Name: readii
Version: 1.30.0
Summary: A package to extract radiomic features!
Author-email: Katy Scott <Katy.Scott@uhn.ca>
License-Expression: MIT
License-File: LICENSE
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: <3.13,>=3.10
Requires-Dist: matplotlib<4,>=3.9.2
Requires-Dist: med-imagetools>=1.9.2
Requires-Dist: numpy==1.26.4.*
Requires-Dist: orcestra-downloader<1,>=0.9.0
Requires-Dist: pandas<3,>=2.2.3
Requires-Dist: pydicom>=2.3.1
Requires-Dist: pyradiomics-bhklab<4,>=3.1.4
Requires-Dist: seaborn<0.14,>=0.13.2
Requires-Dist: simpleitk>=2.3.1
Description-Content-Type: text/markdown

# READII
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**R**adiomic **E**xtraction and **A**nalysis for **DI**COM **I**mages

A package to extract radiomic features from DICOM CT images.

## Installation

```bash
$ pip install readii
```

### (recommended) Create new `pixi` environment for a project

```bash
mkdir my_project
cd my_project
pixi init
pixi add --pypi readii
```

### (recommended) Create new conda virtual environment

```bash
conda create -n readii python=3.9
conda activate readii
pip install readii
```

## Usage

`readii` is a tool to perform radiomic feature extraction on DICOM CT images with region of interest (ROI) segmentations as either DICOM SEG or RTSTRUCT.

```bash
$ readii [INPUT DIRECTORY] [OUTPUT DIRECTORY] \
  --roi_names [str] \
  --pyradiomics_setting [str] \
  --negative_controls [str: shuffled_full,shuffled_roi,shuffled_non_roi,randomized_full,randomized_roi,randomized_non_roi,randomized_sampled_full,randomized_sampled_roi, randomized_sampled_non_roi] \
  --parallel [flag]
  --update [flag]
```

### Negative control options

Negative controls are applied to one of three masks:

1. full = voxels in the entire image
2. roi = just voxels within the specified region of interest (ROI) in the segmentation
3. non_roi = all voxels except the ROI.

The three transformations are:

1. shuffle = shuffle all voxels in the specified mask
2. randomized = randomly generate new values within the original range within the specified mask
3. randomized_sampled = randomly sample original values with replacement to get new values within the specified mask

## Contributing

Please use the following angular commit message format:

```text
<type>(optional scope): short summary in present tense

(optional body: explains motivation for the change)

(optional footer: note BREAKING CHANGES here, and issues to be closed)

```

`<type>` refers to the kind of change made and is usually one of:

- `feat`: A new feature.
- `fix`: A bug fix.
- `docs`: Documentation changes.
- `style`: Changes that do not affect the meaning of the code (white-space, formatting, missing semi-colons, etc).
- `refactor`: A code change that neither fixes a bug nor adds a feature.
- `perf`: A code change that improves performance.
- `test`: Changes to the test framework.
- `build`: Changes to the build process or tools.

`scope` is an optional keyword that provides context for where the change was made. It can be anything relevant to your package or development workflow (e.g., it could be the module or function - name affected by the change).

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.

### Serve Documentation Locally

```bash
pixi run -e docs doc-serve
```

## License

`readii` was created by Katy Scott. It is licensed under the terms of the MIT license.

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