Lingrui Gu

UNAD: Universal Anatomy-Initialized Noise Distribution Learning Framework Towards Low-Dose CT Denoising

Various deep-learning-based Low-dose Computed Tomography (LDCT) denoising methods have been proposed to address the issue of CT image noise, often relying on powerful network architecture and meticulously designed loss functions. However, these models are typically lacking efficient noise representa…