msvm-unet
importedsoftware/msvm-unet
The official codes for the work "MSVM-UNet: Multi-Scale Vision Mamba UNet for 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
- unknown
- Country
- unknown
- Homepage
- arxiv.org/abs/2408.13735
- Repository
- github.com/gndlwch2w/msvm-unet
- Documentation
- unknown
- Tags
- mamba · medical-image-segmentation · multi-scale-feature-learning
- 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.
- MambaMIMmamba · medical-image-segmentation
[MedIA 2025] MambaMIM: Pre-training Mamba with State Space Token Interpolation and its Application to Medical Image Segmentation
- SK-VMPlusPlusmamba · medical-image-segmentation
[BSPC] The official code for "SK-VM++: Mamba assists skip-connections for medical image segmentation".
- TextMamba3Dmamba · medical-image-segmentation
Text-guided 3D brain tumor segmentation with unified Mamba architecture | 基于统一Mamba架构的文本引导3D脑肿瘤分割
- Brainwavemamba
Brainwave is a state-of-the-art neural decoder that transforms electroencephalogram (EEG) and brain signals into multimodal outputs including images, videos, and text.
- DenoMambamamba
Official implementation of DenoMamba: A fused state-space model for low-dose CT denoising
- MambaRollmamba
Official implementation of MambaRoll: A Physics-Driven Autoregressive State Space Model for Medical Image Reconstruction (https://arxiv.org/abs/2412.09331)
- api.github.com/repos/gndlwch2w/msvm-unetretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2025-12-08, 80 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as Apache-2.0, because GitHub's detector does not recognise open hardware licences.
Not yet verified by a human. Correct this record →
/v1/entries/17.json→ .entries["msvm-unet"]
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