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SlicerNNUnet

imported

software/slicernnunet

3D Slicer nnUNet integration to streamline usage for nnUNet based AI extensions.

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

SlicerNNUnet project image
GitHub preview card for KitwareMedical/SlicerNNUnet. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
BSD-3-Clause(osi)
Status
active
Maturity
deployed
Organization
KitwareMedical
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
3d-slicer-extension · machine-learning · medical-imaging · nnunet
Regulatory
unknown
built by · 4

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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  • MONAILabel3d-slicer-extension · medical-imaging

    MONAI Label is an intelligent open source image labeling and learning tool.

  • SlicerLungCTAnalyzer3d-slicer-extension · medical-imaging

    This is a 3D Slicer extension for segmentation and spatial reconstruction of infiltrated, collapsed, and emphysematous areas in lung CT.

  • Fully automated 3D perivascular space (PVS) segmentation tool for T1w and T2w brain MRI.

  • Official repository of "Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks"

  • Swift Horos/OsiriX plugin that exports active CT/MR series, provisions an isolated Python TotalSegmentator environment, runs segmentation, and imports RT-Struct overlays back into the host viewer.

sources
  1. api.github.com/repos/KitwareMedical/SlicerNNUnet
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-29, 71 stars, license reported as BSD-3-Clause. 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["slicernnunet"]

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