A Deep Learning Network for Accurate Retinal Multidisease Diagnosis Using Multiview Fusion of En Face and B-Scan Images: A Multicenter Study
Multiview fusion models combining B-scan and en face images demonstrate great potential in improving AI performance for retina disease diagnosis.
Authors
- Chubin Ou (ORCID: https://orcid.org/0000-0003-2614-0418)
- Xifei Wei (ORCID: https://orcid.org/0000-0001-5333-0896)
- Lin An (ORCID: https://orcid.org/0000-0002-8555-5800)
- Mei Jin
- Min Zhu (ORCID: https://orcid.org/0000-0003-2605-9791)
- Xiangbin Kong
- Jia Qin (ORCID: https://orcid.org/0000-0002-6715-6339)
Institutions
- Integrated Chinese Medicine (China) (HK)
- First People's Hospital of Foshan (CN)
- Foshan Second People's Hospital (CN)
- Guangdong Academy of Medical Sciences (CN)
- Guangdong Provincial People's Hospital (CN)
- Hangzhou Dianzi University (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1167/tvst.13.12.31
- Citations
- 4
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.62
Funders
- National Natural Science Foundation of China