pydicom
Provides guidance for using pydicom to read, write, and manipulate DICOM medical imaging files. Covers pixel data extraction, metadata handling, format conversion, compression, and anonymization. Includes installation instructions, code examples for common workflows, and troubleshooting tips for compression issues.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install k-dense-ai-claude-scientific-skills-pydicom
Repository
Skill path: scientific-skills/pydicom
Provides guidance for using pydicom to read, write, and manipulate DICOM medical imaging files. Covers pixel data extraction, metadata handling, format conversion, compression, and anonymization. Includes installation instructions, code examples for common workflows, and troubleshooting tips for compression issues.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI.
Target audience: Data teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: K-Dense-AI.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install pydicom into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/K-Dense-AI/claude-scientific-skills before adding pydicom to shared team environments
- Use pydicom for data workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.