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BEFUnet

imported

software/befunet

A Hybrid CNN-Transformer Architecture for Precise Medical Image Segmentation

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

BEFUnet project image
GitHub preview card for Omid-Nejati/BEFUnet. 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
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
cell-segmentation · colab-notebook · deep-learning · hybrid-transformer · medical · medical-imaging · multi-organ-segmentation · segmentation · skin-lesion-segmentation · transformers
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.

  • HiFormercell-segmentation · multi-organ-segmentation · skin-lesion-segmentation · transformers

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

  • SSCTsegmentation · skin-lesion-segmentation · transformers

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

  • MCTSeghybrid-transformer

    [Preprint] Official implementation of "A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities".

  • Medical-Transformermedical-imaging · segmentation · transformers

    Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021

  • GPimcolab-notebook

    Gaussian processes and Bayesian optimization for images and hyperspectral data

  • PraNet-V2multi-organ-segmentation

    PraNet-V2: Upgrading PraNet from binary (V1) to multi-class (V2) segmentation . Support both Jittor & PyTorch DL frameworks.

sources
  1. api.github.com/repos/Omid-Nejati/BEFUnet
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2024-06-01, 74 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/56.json→ .entries["befunet"]

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