DA-MambaNet
importeddata/da-mambanet
A lightweight medical image segmentation model that combines Mamba-based state-space modeling with efficient CNN modules to capture both global context and local features. The architecture is highly…
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Repository
- github.com/nvquang021/DA-MambaNet
- Documentation
- unknown
- Tags
- cnn-pytorch · lightweight · mamba-state-space-models · medical-image-segmentation
- 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.
- Mobile-U-ViTlightweight · medical-image-segmentation
[ACM MM 2025] Mobile U-ViT: Revisiting large kernel and U-shaped ViT for efficient medical image segmentation
- MambaMIMmamba-state-space-models · medical-image-segmentation
[MedIA 2025] MambaMIM: Pre-training Mamba with State Space Token Interpolation and its Application to Medical Image Segmentation
- NeuralBeatlightweight
NeuralBeat is an open-source, Python-based binaural, monaural, and isochronic beat generator designed for precise brainwave entrainment and neuro-acoustic experimentation. This lightweight desktop…
- EEGMambamamba-state-space-models
[Neural Networks 2025] EEGMamba: An EEG Foundation Model with Mamba
- LoBrAFramemamba-state-space-models
Unified framework and Mamba for fNIRS: A Unified fNIRS Classification Framework Informed by Local Brain Activation Patterns
- ADA4MIAmedical-image-segmentation
Awesome Active Domain Adaptation for Medical Image Analysis
- api.github.com/repos/nvquang021/DA-MambaNetretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-11-28, 9 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/26.json→ .entries["da-mambanet"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.