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pydicom

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A Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when you need to read, write, or modify DICOM format medical imaging data, extract pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymize DICOM files,...

scientific-skills/Data Analysis/pydicom/SKILL.md

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> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)

# Pydicom

## When to Use

- Use this skill when you need a python library for working with dicom (digital imaging and communications in medicine) files. use this skill when you need to read, write, or modify dicom format medical imaging data, extract pixel data from medical images (ct, mri, x-ray, ultrasound), anonymize dicom files, process dicom metadata and tags, convert dicom images to other formats, handle compressed dicom data, or work with medical imaging datasets. suitable for tasks involving medical image analysis, pacs systems, radiology workflows, and healthcare imaging applications in a reproducible workflow.
- Use this skill when a data analytics task needs a packaged method instead of ad-hoc freeform output.
- Use this skill when the user expects a concrete deliverable, validation step, or file-based result.
- Use this skill when `scripts/anonymize_dicom.py` is the most direct path to complete the request.
- Use this skill when you need the `pydicom` package behavior rather than a generic answer.

## Key Features

- Scope-focused workflow aligned to: A Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when you need to read, write, or modify DICOM format medical imaging data, extract pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymize DICOM files, process DICOM metadata and tags, convert DICOM images to other formats, handle compressed DICOM data, or work with medical imaging datasets. Suitable for tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
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