We will perform medical image analysis in collaboration with the Sahlgrenska University hospital, to analyze large scale CT, MR and PET images. We will use large data cohorts (>1,000 cases per sub-study), including the national SCAPIS cohort (30,000 cases). Our aims are to design, train, and test deep learning models for automatic diagnosis, outcome prediction, and outlier detection in these images.