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DA-MambaNet

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data/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.

DA-MambaNet project image
GitHub preview card for nvquang021/DA-MambaNet. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Data & Standards
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
doi.org/10.1016/j.imavis.2025.105778
Repository
github.com/nvquang021/DA-MambaNet
Documentation
unknown
Tags
cnn-pytorch · lightweight · mamba-state-space-models · medical-image-segmentation
Regulatory
unknown
built by · 1

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.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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    Comparative spectral analysis of CNNs, Transformers, and State Space Models for medical image segmentation. Introduces AVR-based spectral fingerprinting across architecture paradigms.

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sources
  1. api.github.com/repos/nvquang021/DA-MambaNet
    retrieved 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.

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