Synthetic Data Augmentation via Class-Conditional Latent Diffusion Models for Fundus Image Quality Assessment
Reliable automated fundus image quality assessment (FIQA) is a critical prerequisite for large-scale diabetic retinopathy (DR) screening, yet clinical datasets typically suffer from severe class imbalance that undermines classifier performance on minority quality grades. We present a comprehensive comparative study of...