Semi‐ and unsupervised learning constitute two pivotal paradigms for extracting structure and meaning from data when explicit labels are sparse or entirely absent. In semi‐supervised learning, a small ...

The author proposes Ves-GAN, a novel unsupervised vessel-targeted denoising framework based on the architecture of Cycle-GAN. Ves-GAN achieves global denoising of LDCTA images while selectively ...