Conditional Flow Matching-based Semi-supervised Segmentation for Quality Assessment of Fundus Images.
This framework provides an annotation-efficient solution for objective fundus image quality assessment, demonstrating a high concordance with expert measurements and outperforms other compared semi-supervised methods.