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MT-UNet

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software/mt-unet

Official Code for *Mixed Transformer UNet for Medical Image Segmentation*

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

MT-UNet project image
GitHub preview card for Dootmaan/MT-UNet. 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
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
deep-learning · medical-imaging · segmentation · 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.

  • Medical-Transformermedical-imaging · segmentation · transformer

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

  • DAEFormersegmentation · transformer

    [MICCAI 2023] DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation

  • deconversegmentation · transformer

    Official PyTorch Implementation of "Deconver: A Deconvolutional Network for Medical Image Segmentation"

  • Mobile-U-ViTsegmentation · transformer

    [ACM MM 2025] Mobile U-ViT: Revisiting large kernel and U-shaped ViT for efficient medical image segmentation

  • Abdomen-CT-Image-Segmentationmedical-imaging · segmentation

    The code for the paper Improving CT Image Tumor Segmentation Through Deep Supervision and Attentional Gates.

  • All-About-the-GANmedical-imaging · segmentation

    All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

sources
  1. api.github.com/repos/Dootmaan/MT-UNet
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-03-02, 198 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/61.json→ .entries["mt-unet"]

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