01 January 2007 → 30 December 2012
Research Foundation - Flanders (FWO)
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Information sciences
    • Other information and computing sciences
    • Classical physics
    • Optical physics
  • Social sciences
    • Information sciences
    • Library sciences
  • Engineering and technology
    • Modelling
    • Multimedia processing
segmentation registration data fusion multimodal classification
Project description

In this project we aim at fusing both one-dimensional signal information as two-dimensional image information based on framework that integrates feature classification, image segmentation and image registration. As input signals we use different medical modalities: electro-encophalograms, magnetic resonance volumes and ultrasound images of preterm infants. The final goal of the project is to develop a theoretical framework where relevant signal and image information is combined on a high level in function of their diagnostic value.