The Division of Medical Image Computing (MIC) pioneers research in machine learning and information processing, with the particular aim of improving cancer patient care by systematic image data analytics. We structure and quantify imaging information from multiple time-points and imaging technologies, e.g. magnetic resonance imaging or computer tomography, and link it with clinical and biological parameters. As an initiator and co-coordinator of the Helmholtz Imaging Platform (HIP), we pursue cutting-edge developments at the core of computer science, with applications in but also beyond medicine. We are particularly interested in techniques for semantic segmentation and object detection as well as in unsupervised learning and probabilistic modeling.

Resources used
https://www.dkfz.de/en/mic/index.php