Scale-Aware Self-Supervised Learning for Segmentation of Small and Sparse Structures

Jorge Quesada, Ghassan AlRegib

Self-supervised learning (SSL) has emerged as a powerful strategy for representation learning under limited annotation regimes, yet its effectiveness remains highly sensitive to ma…