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MTK

imported

software/mtk

Swift Package for Metal-native medical volume rendering and SwiftUI clinical viewports. Provides MTKCore/MTKUI surfaces for GPU-resident volume, MPR, projections, overlays, transfer functions, and…

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

MTK project image
GitHub preview card for ThalesMMS/MTK. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
3d · dicom · gpu · medical-imaging · metal · swift · volume-rendering
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.

  • open-dicom-viewerdicom · medical-imaging · metal

    A native macOS DICOM medical image viewer built with SwiftUI. Multi-panel layouts, MPR reconstruction, and GPU-accelerated volume rendering.

  • vanilla-rolldicom · medical-imaging · volume-rendering

    array-api based simple volume renderer

  • Weasisdicom · medical-imaging · volume-rendering

    Weasis is a web-based DICOM viewer for advanced medical imaging and seamless PACS integration.

  • MRIcroGL10_OLDdicom · volume-rendering

    DEPRECATED development has moved to https://github.com/rordenlab/MRIcroGL

  • rendering-volume-from-dicom-vtkdicom · volume-rendering

    Example for rendering a volume from DICOM files using VTK

  • UnityVolumeRenderingdicom · volume-rendering

    Volume rendering, implemented in Unity3D. Want to support the project? Donate a small sum to Save The Children(https://www.savethechildren.net/) or another charity, and send me a message, and I will…

sources
  1. api.github.com/repos/ThalesMMS/MTK
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-12, 4 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/29.json→ .entries["mtk"]

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