title: Knowledgebased segmentation.
abstract: The segmentation of medical images like CT or MRI scans represents a great challenge to researchers in computer vision, due to the variability of the individual anatomy and the different characteristics of the scanning systems. As an anatomical knowledge base improves the recognition of structures in CT or MRI scans, we chose a knowledge based segmentation in our approach, which will be explained in the following.
authors: Institute of Real-Time Computer Control Systems and Robotics, University of Karlsruhe, Germany. burghart@ira.uka.de
authors: C R
authors: CR
authors: Burghart
authors: A
authors: A
authors: Pernozzoli
authors: U
authors: U
authors: Rembold
mesh_terms: D000465:Algorithms; D016000:Cluster Analysis; D006801:Humans; D007091:Image Processing, Computer-Assisted; D016018:Least-Squares Analysis; D008279:Magnetic Resonance Imaging; D008953:Models, Anatomic; D014057:Tomography, X-Ray Computed