New tools for automatic and interactive exploration of multivariate image data in biomedicine

Tim W. Nattkemper, Thorsten Twellmann, Axel Saalbach
Applied Neuroinformatics
Faculty of Technology
Bielefeld University

The analysis of multivariate image data is a field of research becoming increasingly important in a broad range of applications from remote sensing to biomedical microscopy imaging. While traditional scientific image processing and visualisation techniques are often not suitable for the analysis of this kind of data, applications of machine learning methods have shown promissing results regarding image segmentation or image fusion. In this talk we will present systems for the automatic detection and classification of cells in micrographs and a new approach for image fusion based visualization of multivariate image data.