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RARE-UNet

imported

software/rare-unet

This repository features RARE-UNet a resolution-aware 3D U-Net for adaptive medical segmentation. It uses multi-scale entry blocks and resolution-based routing to dynamically adjust the inference…

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

RARE-UNet project image
GitHub preview card for simonwinther/RARE-UNet. 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
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
3d-unet · adaptive-inference · brain-mri · consistency-training · dynamic-routing · hippocampus-segmentation · medical-image-segmentation · multi-scale · rare-unet · resolution-aware · tumor-segmentation
Regulatory
unknown
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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  • micaopenmulti-scale

    Open Scripts and pipelines from the Multimodal Imaging and Connectome Analysis Lab at the Montreal Neurological Institute

  • BraTS2018-tumor-segmentation3d-unet · medical-image-segmentation

    We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR…

  • U-Net-PyTorch3d-unet · medical-image-segmentation

    🧠 Implement U-Net in PyTorch for effective binary image segmentation, focusing on brain tumor detection with a complete pipeline from data prep to evaluation.

  • VoxelSagemedical-image-segmentation · tumor-segmentation

    VoxelSage turns CT scans into actionable 3D insights—automatically segmenting anatomy, quantifying tumors and vessels, generating structured reports, and powering agent-guided surgical analysis.

  • [CCF BDCI 2021] This is the source code of the 1st place solution for segmentation task (with Dice 90.32%) in 2021 CCF BDCI challenge.

sources
  1. api.github.com/repos/simonwinther/RARE-UNet
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-02-05, 3 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/18.json→ .entries["rare-unet"]

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