Self-supervised learning (SSL) has gained significant attention in the past decade for its capacity to utilize non-annotated datasets to learn meaningful data representations. In the medical domain. the challenge of constructing large annotated datasets presents a significant limitation. rendering SSL an ideal approach to address this constraint. https://www.truvisionhealthftp.com/