R&D / Publications · 2024.02.01

An Unsupervised Two-step Training Framework for Low-dose Computed Tomography Denoising

A two-stage framework combines volumetric self-learning with a memory-efficient denoising GAN to improve both objective fidelity and perceived quality without paired clinical scans.