Deep learning by Vision Transformer to classify bacterial and fungal keratitis using different types of anterior segment images
Despite the limited dataset, we validated ViT with self-attention to learn different types of images to improve recognition accuracy in diagnosing bacterial and fungal keratitis. ViT with self-attention has a meaningful effect on enhancing the diagnostic performance of bacterial and fungal keratitis by combining two or more types of anterior segment images.
Authors
- Yeo Kyoung Won
- Jiho Cha
- C. Kim
- Jooyoung Jeon
- Dong Hui Lim (ORCID: https://orcid.org/0000-0003-1543-7961)
Institutions
- Korea Advanced Institute of Science and Technology (KR)
- Samsung Medical Center (KR)
- Sungkyunkwan University (KR)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2025-03-18
- DOI
- https://doi.org/10.1016/j.compbiomed.2025.109976
- Citations
- 2
- Primary Topic
- Ocular Infections and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 3.41