Applying deep learning to PET/CT scans helps clinicians diagnose neurodegenerative disorders

A team of South Korean researchers created a type of artificial intelligence known as a generative adversarial network using an existing model called pix2pix, they said Feb. 10 in the Journal of Digital Imaging. And when applied to 18F-FDG PET/CT and MRI scan data from hundreds of patients, it accurately segmented and assessed the volume of white matter in the brain.