OCTAMamba
importedsoftware/octamamba
【ICASSP2025 Oral】Offical Pytorch Code for "OCTAMamba: A State-Space Model Approach for Precision OCTA Vasculature 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
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/zs1314/OCTAMamba
- Documentation
- unknown
- Tags
- ai · cv · deep-learning · lightweight · mamba · medical-imaging
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- APTOS2019cv · medical-imaging
43th place (top2%) Solution for Kaggle APTOS 2019 Blindness Detection
- DenoMambamamba · medical-imaging
Official implementation of DenoMamba: A fused state-space model for low-dose CT denoising
- MambaMIMmamba · medical-imaging
[MedIA 2025] MambaMIM: Pre-training Mamba with State Space Token Interpolation and its Application to Medical Image Segmentation
- MambaRollmamba · medical-imaging
Official implementation of MambaRoll: A Physics-Driven Autoregressive State Space Model for Medical Image Reconstruction (https://arxiv.org/abs/2412.09331)
- SkinMambamamba · medical-imaging
【ACCVW2025 Oral】Offical Pytorch Code for "SkinMamba: A Precision Skin Lesion Segmentation Architecture with Cross-Scale Global State Modeling and Frequency Boundary Guidance"
- synthetic-medical-imagescv · medical-imaging
Using a GAN to synthetically generate medical images for DL purposes
- api.github.com/repos/zs1314/OCTAMambaretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2025-02-10, 39 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/12.json→ .entries["octamamba"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.