Kanfeng Liu

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

Abstract Objectives This study aims to comprehensively assess the value of deep learning (DL) models in improving the image quality of respiratory-gated PET/CT and explore the impact of PET acquisition time on the quality of model-predicted images. Methods We enrolled 90 patients...