1. A method for computer-aided decision (CAD) support in medical imaging, comprising: processing patient image data using a CAD process to detect potential regions of interest in the patient image data; presenting CAD results obtained from the CAD process for review by a user; receiving user-generated diagnosis that is based on the presented CAD results; collecting unsupervised training data in the background based on user-generated diagnosis of the CAD results; and adapting the CAD process using the collected unsupervised training data for subsequent processing of subsequent patient image data, wherein the frequency at which the collected unsupervised training data is used to adapt the CAD process is varied depending on a level of experience of the user and wherein the CAD process is based on offline training, the unsupervised training data collected in the background, and expert rules, regulations or guidelines.