Clinical evaluation of deep learning-enhanced respiratory gated 18F-FDG PET/CT images

Short summary

Deep learning models, particularly GANs, significantly improve image quality and lesion detection in low-acquisition-time (LAT) PET/CT scans, achieving quantitative consistency with full-acquisition-time scans and outperforming standard free-breathing scans.

AI-generated from the title and abstract; the full text is not read.