Multi-operator-based model-driven self-supervised learning for fluorescence diffusion tomography

Supervised learning’s reliance on high-fidelity labeled data limits its application in fluorescence diffusion tomography (FDT). Here, we propose a Multi-operator-based Model-driven Self-supervised Learning (MMSL) for FDT to eliminate the need for labeled data. Our approach exploits geometrically dis... View More