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VT-UNet

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data/vt-unet

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

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VT-UNet project image
GitHub preview card for himashi92/VT-UNet. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Data & Standards
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Repository
github.com/himashi92/VT-UNet
Documentation
unknown
Tags
3d-medical-imaging-segmentation · brats-dataset · deep-learning · mri · pure-transformer · pytorch · pytorch-implementation · segmentation
Regulatory
unknown
built by · 1

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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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    [IEEE-JBHI'2024] M2FTrans: Modality-Masked Fusion Transformer for Incomplete Multi-Modality Brain Tumor Segmentation

  • MIST3d-medical-imaging-segmentation · pytorch

    MIST: A simple and scalable end-to-end framework for 3D medical imaging segmentation.

  • ukb_segmentationmri · pytorch · segmentation

    PyTorch implementation for 2.5D U-Net segmentation of UK Biobank neck-to-knee body MRI

  • Dynamic-PyTorch-Netpytorch · pytorch-implementation

    Class to automatic create Convolutional Neural Network in PyTorch

  • Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networksbrats-dataset

    Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of…

sources
  1. api.github.com/repos/himashi92/VT-UNet
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-09-11, 276 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/36.json→ .entries["vt-unet"]

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