Leveraging Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation

A novel self-supervised approach, MedSASS, that leverages the intrinsic properties of medical images to enhance binary semantic segmentation performance, outperforming existing state-of-the-art self-supervised techniques.