Bekzat Nurlanbekova

Domain-Specific Self-Supervised Representation Learning for Retinal Fundus Classification

The results show that tailoring augmentation strategies to the characteristics of retinal images plays a critical role in improving performance, and even under constrained settings, lightweight SSL frameworks can learn transferable representations that reduce dependence on large annotated datasets and achieve competiti...