databricks-industry-solutions

    databricks-industry-solutions/pixels

    Facilitates simple large scale processing of HLS Medical images, documents, zip files. OHIF Viewer, 2 segmentation models and interactive learning.

    web
    dicom
    fair-data
    hls
    medical-imaging
    JavaScript
    NOASSERTION
    435 stars
    142 forks
    435 GitHub watchers
    Updated Nov 3, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    1 release in the last 90 days, the latest 23 days ago, with 11 contributors on GitHub.

    Peaked at #87 in the weekly ranking the week of Feb 1, its best in the past year.

    Use Cases & Benefits

    • Facilitates large-scale ingestion, indexing, viewing, and AI-powered segmentation of DICOM medical images within a secure Databricks Lakehouse environment.
    • Integrates OHIF Viewer and NVIDIA MONAI for seamless interactive annotation and real-time model training with Databricks' scalable compute and governance.
    • Use for building secure, scalable pipelines to catalog and analyze DICOM metadata with SQL and machine learning in healthcare imaging workflows.
    • Use for deploying AI-assisted interactive medical image labeling and segmentation directly inside Databricks using MONAILabel and OHIF Viewer integration.
    • Use for anonymizing sensitive patient data in DICOM files while enabling advanced analytics and dashboarding on protected health information.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Other

    GitHub could not identify this license; read the LICENSE file before depending on it.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    • License not identified by GitHub; read the LICENSE file before depending on it.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    ✅ Ingest and index DICOM image metadata (.dcm and from zip archives) ✅ Analyze DICOM image metadata with SQL and Machine Learning. ✅ View, segment, label DICOM Images with OHIF viewer integrated into Lakehouse Apps and Databricks security model. ✅ One button push to launch model training from OHIF viewer. ✅ NVIDIA's MONAI Integration, AI to automatically segment medical images and train custom models. ✅ Leverage Databricks' Model Serving with serverless GPU enabled clusters for real-time segmentation.

    Excerpt from the databricks-industry-solutions/pixels README on GitHub (NOASSERTION license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    142+10

    Open issues

    74+4

    Compared with peers in Web

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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