Can I convert DICOM to PNG or JPEG using this skill?

Absolutely, the skill includes scripts and code patterns to extract raw pixel data and normalize it for saving as standard image formats.

What file formats does the pydicom skill support?

It supports the DICOM standard used for medical imaging including CT, MRI, X-ray, ultrasound, and PET scans.

Does it handle compressed DICOM images?

Yes, it provides guidance on using external handlers like pylibjpeg and gdcm to process JPEG, JPEG 2000, and RLE compressed files.

Can I use this skill to anonymize patient data?

Yes, it includes specialized workflows and scripts specifically designed to remove or replace Protected Health Information (PHI) from DICOM headers for HIPAA compliance.

Pydicom Medical Imaging

Name: Pydicom Medical Imaging
Author: Zehong-Wang

byZehong-Wang

0•

데이터 과학 및 ML

Processes and manipulates DICOM medical imaging files for healthcare data analysis and clinical workflow integration.

Pydicom is a specialized Claude Code Skill designed for developers and data scientists working with medical imaging data in the DICOM (Digital Imaging and Communications in Medicine) format. It provides streamlined workflows for reading, writing, and modifying metadata, extracting pixel data for visualization using NumPy and Matplotlib, and performing critical tasks like PHI anonymization for research compliance. Whether you are building PACS integrations, automated radiology pipelines, or deep learning models for medical scans like CT, MRI, or X-rays, this skill offers the implementation patterns and helper scripts needed to handle complex medical imaging datasets effectively.

주요 기능

01Extract and manipulate pixel data from CT, MRI, X-ray, and ultrasound scans

02Anonymize Protected Health Information (PHI) in DICOM headers for research compliance

03Handle complex DICOM sequences, structured reports, and multi-frame datasets

04Support for various compression formats including JPEG, JPEG 2000, and RLE

05Convert DICOM files to standard image formats like PNG, JPEG, and TIFF

060 GitHub stars

사용 사례

01Preprocessing medical imaging datasets for machine learning and AI model training

02Automating the anonymization of patient data for secure clinical research sharing

03Building custom DICOM viewers or PACS integration tools for healthcare software

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zehong-wang/kosmos pydicom

For use in Claude.ai and ChatGPT

Download Skill