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dicomPreProcess

imported

software/dicompreprocess

This project aims to develop a medical image processing library using a service-oriented architecture.

Machine-generated from the listed sources and not yet reviewed by a human.

dicomPreProcess project image
GitHub preview card for HamzaGbada/dicomPreProcess. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
hub.docker.com/r/hamzagbada18/dicom
Repository
github.com/HamzaGbada/dicomPreProcess
Documentation
unknown
Tags
dicom · docker · flask · mamography · medical-image-processing · medical-imaging · numba · optimization-algorithms · python
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • Flask-wadodicom · flask · medical-imaging

    Flask-Wado: a WADO (Web Access to DICOM Objects) server in Python/Flask. Port of the cherrywado project.

  • AMIGOpydicom · medical-image-processing · medical-imaging

    Software for research and education in medical physics

  • Dicom-Image-Registration-Pythondicom · medical-image-processing · medical-imaging

    Dicom Image Registration Program in Python using a modified SimpleITK/SimpleElastix module compiled from source

  • DICOM-to-JPEG-Converterdicom · medical-image-processing · medical-imaging

    Convert DICOM medical images to JPEG for easy viewing, sharing, and AI model input (e.g. Google's MedGemma).

  • dicom_to_rosdicom · medical-image-processing · medical-imaging

    ROS 2 pipeline that receives DICOM files over the network and translates them into standard ROS 2 topics

  • dicom2jpgdicom · medical-image-processing · medical-imaging

    A simple Python function tool to convert DICOM files into jpg/png/bmp/tiff files and numpy.ndarray

sources
  1. api.github.com/repos/HamzaGbada/dicomPreProcess
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-10-13, 3 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/37.json→ .entries["dicompreprocess"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.