openmedical/registry
← registry

entropy

imported

software/entropy-adlerdh

Entropy: Interactively visualize, compare, segment, annotate, and co-register medical images

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

entropy project image
GitHub preview card for adlerdh/entropy. 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
medical-image-analysis · medical-image-annotation · medical-image-registration · medical-image-segmentation · medical-image-viewer · medical-imaging · medical-visualization
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.

  • Volume-Renderermedical-image-analysis · medical-imaging · medical-visualization

    A basic Volume Renderer mainly for Medical Images like CT-Scans and MRI Images

  • deformmedical-image-registration · medical-imaging

    Efficient dense deformable image registration

  • DeepHistRegmedical-image-registration

    Code used to create the DeepHistReg submission to the ANHIR challenge.

  • modulesmedical-visualization

    Additional Inviwo modules

  • MedNeXtmedical-image-analysis · medical-image-segmentation · medical-imaging

    [MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.

  • SvANetmedical-image-analysis · medical-image-segmentation · medical-imaging

    [TNNLS 2026] SvANet: Exploiting Scale-Variant Attention for Segmenting Small Medical Objects

sources
  1. api.github.com/repos/adlerdh/entropy
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-25, 6 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/7.json→ .entries["entropy-adlerdh"]

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