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M2FTrans

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data/m2ftrans

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

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M2FTrans project image
GitHub preview card for Jun-Jie-Shi/M2FTrans. 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
doi.org/10.1109/JBHI.2023.3326151
Repository
github.com/Jun-Jie-Shi/M2FTrans
Documentation
unknown
Tags
brats-dataset · medical-image-segmentation · missing-modalities · pytorch-implementation · 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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    [MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

  • 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…

  • neuro-voxelbrats-dataset

    Volumetric MRI visualization and analysis tool for BraTS datasets. Converts NIfTI slices to 3D meshes using Marching Cubes algorithm with real-time tumor volume calculation.

  • Dynamic-PyTorch-Netpytorch-implementation

    Class to automatic create Convolutional Neural Network in PyTorch

  • EEG-BayesianCNNpytorch-implementation

    This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.

sources
  1. api.github.com/repos/Jun-Jie-Shi/M2FTrans
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2024-10-06, 28 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/2.json→ .entries["m2ftrans"]

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