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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.

record
Category
Data & Standards
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
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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    [MedIA 2025] MambaMIM: Pre-training Mamba with State Space Token Interpolation and its Application to Medical Image Segmentation

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  • LoBrAFramemamba-state-space-models

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  • ADA4MIAmedical-image-segmentation

    Awesome Active Domain Adaptation for Medical Image Analysis

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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machine-readable

/v1/entries/26.json→ .entries["da-mambanet"]

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