M2FTrans
importeddata/m2ftrans
[IEEE-JBHI'2024] M2FTrans: Modality-Masked Fusion Transformer for Incomplete Multi-Modality Brain Tumor Segmentation
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Repository
- github.com/Jun-Jie-Shi/M2FTrans
- Documentation
- unknown
- Tags
- brats-dataset · medical-image-segmentation · missing-modalities · pytorch-implementation · transformer
- Regulatory
- unknown
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- VT-UNetbrats-dataset · pytorch-implementation
[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation
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…
- nnDetectionpytorch-implementation
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that…
- DAEFormermedical-image-segmentation · transformer
[MICCAI 2023] DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
- Mobile-U-ViTmedical-image-segmentation · transformer
[ACM MM 2025] Mobile U-ViT: Revisiting large kernel and U-shaped ViT for efficient medical image segmentation
- TransBTSmedical-image-segmentation · transformer
This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103.04430) , accepted by MICCAI2021. 2) TransBTSV2: Towards…
- api.github.com/repos/Jun-Jie-Shi/M2FTransretrieved 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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