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VolumeRayCasting

imported

software/volumeraycasting

Volume rendering in the browser, using volume ray casting implemented in WebGL 2.

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

VolumeRayCasting project image
GitHub preview card for RolandR/VolumeRayCasting. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
AGPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
medical-imaging · volume-ray-casting · volume-rendering · webgl2
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

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.

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    VPT: The Volumetric Path Tracing Framework

  • MRIcroGL10_OLDvolume-ray-casting · volume-rendering

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

  • MTKmedical-imaging · volume-rendering

    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…

  • three.js-volume-renderermedical-imaging · volume-rendering

    A highly customizable real-time volume renderer for three.js

  • vanilla-rollmedical-imaging · volume-rendering

    array-api based simple volume renderer

  • volume-renderermedical-imaging · volume-rendering

    Volume Renderer with VTK

sources
  1. api.github.com/repos/RolandR/VolumeRayCasting
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2019-10-15, 67 stars, license reported as AGPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/14.json→ .entries["volumeraycasting"]

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