Pan et al. develop a zero-shot learning framework that detects mild diabetic retinopathy by transferring lesion features from a correlated eye disease without using labeled examples. The model achieves high accuracy and outperforms most supervised baselines, demonstrating a promising approach for automated screening where annotated data are scarce.
- Chengchang Pan
- Yudian Wang
- Wen Gao
