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Light-UNETR

imported

software/light-unetr

[TPAMI' 2025] Harnessing Lightweight Transformer with Contextual Synergic Enhancement for Efficient 3D Medical Image Segmentation

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

Light-UNETR project image
GitHub preview card for CUHK-AIM-Group/Light-UNETR. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
CUHK-AIM-Group
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
efficient-deep-learning · medical-image-segmentation · medical-imaging · semi-supervised-learning · vision-transformer
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.

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  • QG-SSLmedical-image-segmentation · medical-imaging · semi-supervised-learning

    [MICCAI '26 Early Accept] Quality-Guided Semi-Supervised Learning for Medical Image Segmentation

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    AtlasPatch: An Efficient and Scalable Tool for Whole Slide Image Preprocessing

  • Label-Propagationmedical-image-segmentation · semi-supervised-learning

    Code for [COSMOS 2022 Challenge] Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis.

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    Semi-supervised Teeth Segmentation Challenge

  • XNetmedical-image-segmentation · semi-supervised-learning

    [ICCV2023] XNet: Wavelet-Based Low and High Frequency Merging Networks for Semi- and Supervised Semantic Segmentation of Biomedical Images

sources
  1. api.github.com/repos/CUHK-AIM-Group/Light-UNETR
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-03-24, 13 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/10.json→ .entries["light-unetr"]

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