MSLI-Net: retinal disease detection network based on multi-segment localization and multi-scale interaction
This model provides new research ideas for the early diagnosis of retinal diseases and helps drive the development of future high-precision medical imaging-assisted diagnostic systems.
Authors
- Qi Dong Zhao (ORCID: https://orcid.org/0000-0001-9713-1864)
- Hanyu Wang (ORCID: https://orcid.org/0000-0002-3052-6121)
- Shuangliang Cao (ORCID: https://orcid.org/0000-0002-8193-0714)
- Jin Hong (ORCID: https://orcid.org/0000-0002-8757-2700)
- Siyue Li (ORCID: https://orcid.org/0000-0001-8791-5841)
- Jeffrey Cheng (ORCID: https://orcid.org/0000-0003-3674-7301)
- Gui‐Lu Long (ORCID: https://orcid.org/0000-0002-9023-1579)
Institutions
- Nanchang University (CN)
- Sun Yat-sen University (CN)
- University of California, Los Angeles (US)
- Zhengzhou University (CN)
- Henan Cancer Hospital (CN)
Publication Details
- Journal
- Frontiers in Cell and Developmental Biology
- Published
- 2025-06-06
- DOI
- https://doi.org/10.3389/fcell.2025.1608325
- Citations
- 3
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 4.08