VT-UNet
importeddata/vt-unet
[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D 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
- 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
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- M2FTransbrats-dataset · pytorch-implementation
[IEEE-JBHI'2024] M2FTrans: Modality-Masked Fusion Transformer for Incomplete Multi-Modality Brain 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…
- UNETR3d-medical-imaging-segmentation
Unofficial code base for UNETR: Transformers for 3D Medical Image Segmentation
- 3dMRISegmentationmri · pytorch · segmentation
Code for NeuroImage: Clinical paper "Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network."
- 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…
- Annotated MRI and ultrasound volume images of the prostatemri · segmentation
Introduction The Surgical Planning Laboratory (SPL) and the National Center for Image Guided Therapy (NCIGT) are making this dataset available as a resource to aid in the development of algorithms…
- api.github.com/repos/himashi92/VT-UNetretrieved 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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