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Merge pull request #174 from AustralianCancerDataNetwork/docs-fix
Small formatting fixes
2 parents 20cf078 + af61bf0 commit 6abb459

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CITATION.cff

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date-published: "2024-12-14"
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doi: 10.1016/j.softx.2024.102010
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journal: SoftwareX
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issn: 2352-7110
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publisher:
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name: Elsevier
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title: "PyDicer: An open-source python library for conversion and analysis of radiotherapy DICOM data"

README.md

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- `[working]/[dataset_name]`: Clean datasets prepared using the Dataset Preparation Module will be stored in a directory with their name and will symbolically link to converted in the `[working]/data` directory
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![PyDicer Working Directory structure](assets/pydicer-working-directory-structure.png)
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*PyDicer working directory structure ([Chlap, P. et al. SoftwareX](https://doi.org/10.1016/j.softx.2024.102010))*
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PyDicer working directory structure. Ref. [Chlap, P. et al. SoftwareX](https://doi.org/10.1016/j.softx.2024.102010)
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## Pipeline
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If you make use of PyDicer within your research work, please consider citing our SoftwareX paper:
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**Chlap P, Al Mouiee D, Finnegan RN, et al. PyDicer: An open-source python library for conversion and analysis of radiotherapy DICOM data. *SoftwareX*. 2025;[29:102010. doi:10.1016/j.softx.2024.102010](https://doi.org/10.1016/j.softx.2024.102010)**
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Chlap P, Al Mouiee D, Finnegan RN, et al. PyDicer: An open-source python library for conversion and analysis of radiotherapy DICOM data. *SoftwareX*. 2025;29:102010. [doi:10.1016/j.softx.2024.102010](https://doi.org/10.1016/j.softx.2024.102010)
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## Contributing
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docs/conf.py

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shutil.copy("../examples/ObjectGeneration.ipynb", "_examples/ObjectGeneration.ipynb")
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shutil.copy("../examples/AutoSegmentation.ipynb", "_examples/AutoSegmentation.ipynb")
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shutil.copy("../examples/nnUNet.ipynb", "_examples/nnUNet.ipynb")
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shutil.rmtree("site/assets", ignore_errors=True)
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os.makedirs("site", exist_ok=True)
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shutil.copytree("../assets", "site/assets")

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