Detection of diabetic macular oedema patterns with fine-grained image categorisation on optical coherence tomography
The proposed SSA-Net architecture for detecting the pathological patterns of DME achieved satisfactory accuracy. However, this study was conducted in one medical centre, and multicentre trials will be needed in the future.
Authors
- Wangli Qiu
- Lijun Shen (ORCID: https://orcid.org/0000-0002-7518-2932)
- Xiao Xian Lin (ORCID: https://orcid.org/0009-0001-4226-9994)
- Yingjiao Shen
- Xin Ye (ORCID: https://orcid.org/0000-0002-0563-0015)
- Yaqi Wang (ORCID: https://orcid.org/0000-0002-4627-3392)
- Qian Chen (ORCID: https://orcid.org/0000-0002-3585-305X)
- Linzhen Tu
- Wenbin Xie
Institutions
- Zhejiang Provincial People's Hospital (CN)
- Communication University of Zhejiang (CN)
- Guizhou Provincial People's Hospital (CN)
- He Eye Hospital (CN)
- Shaoxing People's Hospital (CN)
Publication Details
- Journal
- BMJ Open Ophthalmology
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1136/bmjophth-2024-002037
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00