Multi-resolution visual Mamba with multi-directional selective mechanism for retinal disease detection
This approach offers a novel perspective for accurately identifying retinal diseases and could contribute to the development of more robust artificial intelligence algorithms and recognition systems for medical image-assisted diagnosis.
Authors
- Ping Na
- Qiankun Zuo (ORCID: https://orcid.org/0009-0002-8487-5762)
- Xi Cheng (ORCID: https://orcid.org/0000-0003-3735-645X)
- Kexin Zhang (ORCID: https://orcid.org/0000-0002-9224-9465)
- Liu Bo (ORCID: https://orcid.org/0000-0003-4084-0656)
- Jiangtao Wang (ORCID: https://orcid.org/0000-0002-8762-120X)
- Jin Hong (ORCID: https://orcid.org/0000-0002-8757-2700)
- Jia Guo (ORCID: https://orcid.org/0000-0002-3701-8867)
- Zhengkun Shi
- Yixian Wu
Institutions
- Beijing Institute of Petrochemical Technology (CN)
- Nanchang University (CN)
- Hubei University Of Economics (CN)
Publication Details
- Journal
- Frontiers in Cell and Developmental Biology
- Published
- 2024-10-11
- DOI
- https://doi.org/10.3389/fcell.2024.1484880
- Citations
- 11
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 4.45
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Hubei Province