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UNETR

imported

software/unetr

Unofficial code base for UNETR: Transformers for 3D Medical Image Segmentation

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

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
3d-medical-imaging-segmentation · medical-image-segmentation · semantic-segmentation
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.

  • active-segmentationmedical-image-segmentation · semantic-segmentation

    ActiveSegmentation: A Simulation Framework for Benchmarking Active Learning Strategies for 3D Medical Image Segmentation

  • AgileFormermedical-image-segmentation · semantic-segmentation

    This the repo for the paper tiltled "AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation"

  • DCSAU-Netmedical-image-segmentation · semantic-segmentation

    [CIBM' 23]: A deeper and more compact split-attention U-Net for medical image segmentation

  • HiFormermedical-image-segmentation · semantic-segmentation

    HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation (WACV 2023)

  • medico-sammedical-image-segmentation · semantic-segmentation

    Segment Anything for Medical Imaging

  • mmsegmentationmedical-image-segmentation · semantic-segmentation

    OpenMMLab Semantic Segmentation Toolbox and Benchmark.

sources
  1. api.github.com/repos/tamasino52/UNETR
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-02-26, 197 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/11.json→ .entries["unetr"]

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