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MONAILabel

imported

software/monailabel

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

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

record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
active
Maturity
deployed
Organization
Project-MONAI
Country
unknown
Homepage
monai.readthedocs.io/projects/label/en/latest/
Repository
github.com/Project-MONAI/MONAILabel
Documentation
unknown
Tags
3d · 3d-slicer-extension · active-learning · deep-learning · machine-learning · medical-imaging · monai · pytorch
Regulatory
unknown
built by · 6

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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    Automatic Segmentation of Vestibular Schwannoma with MONAI (PyTorch)

  • MRISkullStrippingmonai · pytorch

    Developing a UNet3D model for accurate MRI skull stripping using the Calgary Campinas 359 dataset, enhancing neuroimaging preprocessing workflows.

  • dcmqi3d-slicer-extension

    dcmqi (DICOM for Quantitative Imaging) is a C++ library for conversion between imaging research formats and the standard DICOM representation for image analysis results

  • SlicerITKUltrasound3d-slicer-extension

    Ultrasound image formation, processing, and analysis. Interfaces built off the ITKUltrasound library.

  • SlicerRadReirradiation3d-slicer-extension

    3D Slicer extension for Radiotherapy clinical re-irradiation analysis. It features : image registration of RT CT scans , Reirradiation BED/EQD2 calculations and interactive native DVH metrics…

sources
  1. api.github.com/repos/Project-MONAI/MONAILabel
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-29, 875 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/3.json→ .entries["monailabel"]

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