DICOM-to-JPEG-Converter
importedsoftware/dicom-to-jpeg-converter
Convert DICOM medical images to JPEG for easy viewing, sharing, and AI model input (e.g. Google's MedGemma).
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- dcm · deep-learning · dicom · google · jpeg · jpg · llm · medgemma · medical-ai · medical-image-processing · medical-imaging · python · vision-language-model
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- pylibjpeg-datadcm · dicom · jpeg · jpg
Optional JPEG and DICOM data used for testing pylibjpeg
- dcm2niixdcm · dicom · jpeg
dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC
- pylibjpegdcm · dicom · jpeg
A Python framework for decoding JPEG images, with a focus on supporting pydicom
- MedInsightmedical-ai · medical-imaging · vision-language-model
Research framework evaluating retrieval-augmented vision-language models for evidence-grounded medical visual question answering.
- dicom_to_rosdicom · medical-ai · medical-image-processing · medical-imaging
ROS 2 pipeline that receives DICOM files over the network and translates them into standard ROS 2 topics
- DICOM-Swiftdcm · dicom · medical-imaging
Pure Swift DICOM decoder toolkit for iOS/macOS with metadata and pixel parsing, window/level and export pipelines, series/ZIP loading, SwiftUI viewer components, CLI tools, and DIMSE/DICOMweb helpers.
- api.github.com/repos/Violet-sword/DICOM-to-JPEG-Converterretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2025-07-01, 8 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/37.json→ .entries["dicom-to-jpeg-converter"]
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