Contrastive Adversarial Learning for Endomicroscopy Imaging Super-Resolution

Summary

This study introduces a novel unsupervised Super-Resolution (SR) method for endomicroscopy, significantly improving image resolution without ground truth data. The SCGAN model achieves state-of-the-art performance, enhancing real-time optical biopsy capabilities.