Fig. 1

Deep Learning Enhancement (DLE) + Deep Learning Time-of-flight (DLT) applications to a test subject with BMI 19.4 kg/m², with an injected activity of 229 MBq FDG, scanned on a D710 PET-CT scanner. The subject is a male patient, staging scan for relapsed, high grade, transformed, follicular, non-Hodgkin’s lymphoma, with nodal and peritoneal disease. Axial PET images and the SUV_max of a tiny peritoneal nodule posterior to the right lobe of the liver (red arrow) are demonstrated. All images use an SUV scale of 0–6