LHUNet
importedsoftware/lhunet
LHU-Net: A Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Medical Image Segmentation
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- xmindflow
- Country
- unknown
- Homepage
- arxiv.org/abs/2404.05102
- Repository
- github.com/xmindflow/LHUNet
- Documentation
- unknown
- Tags
- acdc · brats · cost-efficiency · deep-learning · hybrid · lhu-net · lhunet · medical-imaging · segmentation · synapse
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- OSS-Netbrats · medical-imaging · segmentation
Official and maintained implementation of the paper "OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data" [BMVC 2021].
- Brain-Tumors-Segmentationmedical-imaging · segmentation · synapse
Multimodal Brain mpMRI segmentation on BraTS 2023 and BraTS 2021 datasets.
- nas_3d_unetbrats · segmentation
Neural Architecture Search for Gliomas Segmentation on Multimodal Magnetic Resonance Imaging
- KiU-Net-pytorchbrats · medical-imaging
Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI
- MSA-2Netsynapse
[BMVC 2024] Official repository of the paper titled "MSA^2 Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation"
We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR…
- api.github.com/repos/xmindflow/LHUNetretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-01-30, 67 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/15.json→ .entries["lhunet"]
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