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SlicerLungCTAnalyzer

imported

software/slicerlungctanalyzer

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

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

SlicerLungCTAnalyzer project image
GitHub preview card for Slicer/SlicerLungCTAnalyzer. 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
dormant
Maturity
deployed
Organization
Slicer
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
3d-slicer-extension · covid · covid-19 · covid-volumetry · ct-volumetry · lung-ct · lung-disease · lung-lobes · lung-segmentation · medical-imaging
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.

  • covid19.MIScnncovid-19 · lung-disease · lung-lobes · lung-segmentation · medical-imaging

    Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data

  • lungmaskcovid-19 · lung-disease · lung-lobes · lung-segmentation

    Automated lung segmentation in CT

  • MONAILabel3d-slicer-extension · medical-imaging

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

  • SlicerNNUnet3d-slicer-extension · medical-imaging

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

  • Lung tumor segmentation with the UNet model.

  • SSCTlung-segmentation

    [ICCV 2023] Self-supervised Semantic Segmentation: Consistency over Transformation

sources
  1. api.github.com/repos/Slicer/SlicerLungCTAnalyzer
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2024-10-04, 93 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/16.json→ .entries["slicerlungctanalyzer"]

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