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Serp-Mamba: Advancing High-Resolution Retinal Vessel Segmentation with Selective State-Space Model

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Serp-Mamba

Serp-Mamba: Advancing High-Resolution Retinal Vessel Segmentation with Selective State-Space Model

Code will be available soon!

Dataset πŸ“Š

Multi-center UWF-SLO Vessel Segmentation (MU-VS) dataset data

For PRIME-FP20: please refer to this IEEE article and dataset link.

For Center A and Center B: please contact Hongqiu ([email protected]) for the dataset. One step is needed to download the dataset: **1) Use your google email to apply for the download permission (OneDrive, BaiduPan-A, BaiduPan-B). We just handle the real-name email and your email suffix must match your affiliation. The email should contain the following information:

Name/Homepage/Google Scholar: (Tell us who you are.)
Primary Affiliation: (The name of your institution or university, etc.)
Job Title: (E.g., Professor, Associate Professor, Ph.D., etc.)
Affiliation Email: (the password will be sent to this email, we just reply to the email which is the end of "edu".)
How to use: (Only for academic research, not for commercial use or second-development.)

The data provided cannot be forwarded to others, and only individuals with approved applications are authorized to use them.

Thanks for understanding and cooperation!

Citation πŸ“–

If you find our work useful or relevant to your research, please consider citing:

@article{wang2024serp,
  title={Serp-Mamba: Advancing High-Resolution Retinal Vessel Segmentation with Selective State-Space Model},
  author={Wang, Hongqiu and Chen, Yixian and Chen, Wu and Xu, Huihui and Zhao, Haoyu and Sheng, Bin and Fu, Huazhu and Yang, Guang and Zhu, Lei},
  journal={arXiv preprint arXiv:2409.04356},
  year={2024}
}

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