SKILL

pydicom

Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.

Target: Design & content creation. Automatically collected · unverified.

Excerpt from the author’s documentation

Extracted from a fixed version of SKILL.md in its original language. This is the author’s documentation; installation, compatibility and runtime results have not been verified by this site.

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Topics in the source

  • Pydicom
  • Overview
  • When to Use This Skill
  • Installation
  • Core Workflows
  • Reading DICOM Files
  • Working with Pixel Data
  • Converting DICOM to Image Formats

Pydicom is a pure Python package for working with DICOM files, the standard format for medical imaging data. This skill provides guidance on reading, writing, and manipulating DICOM files, including working with pixel data, metadata, and various compression formats. Use this skill when working with: Medical imaging files (CT, MRI, X-ray, ultrasound, PET, etc.) DICOM datasets requiring metadata extraction or modification Pixel data extraction and image processing from medical scans DICOM anonymization for research or data sharing Converting DICOM files to standard image formats Compressed DICOM data requiring decompression DICOM sequences and structured reports Multi-slice volume reconstruction PACS (Picture Archiving and Communication System) integration Install pydicom and common dependencies: For handling compressed DICOM files, additional packages may be needed: Read a DICOM file using pydicom.dcmread(): Key points: dcmread() returns a Dataset object Access data elements using attribute notation (e.g., ds.PatientName) or tag notation (e.g., ds[0x0010, 0x0010]) Use ds.filemeta to access file metadata like Transfer Syntax UID Handle missing attributes with getattr(ds, 'AttributeNa

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Source repository
davila7/claude-code-templates
Source file
cli-tool/components/skills/scientific/pydicom/SKILL.md
Fixed revision
21be197f100a12b8d0dd9a211cc244c8179f84d3
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This record was collected automatically. Its documentation, suitability and runtime behavior have not been manually verified.

Author: davila7/claude-code-templates · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-09T15:01:40.274Z.

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MIT. Third-party content and copyright remain with their authors. Refer to the original license and terms.

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