In the research project THESEUS MEDICO we aim at a system combining medical image information with semantic background knowledge from ontologies to give clinicians fully cross-modal access to biomedical image repositories. Therefore joint efforts have to be made in more than one dimension: Object detection processes have to be specified in which an abstraction is performed starting from low-level image features across landmark detection utilizing abstract domain knowledge up to high-level object recognition. We propose a system based on a client-server extension of the scientific workflow platform Kepler that assists the collaboration of medical experts and computer scientists during development and parameter learning.
CITATION STYLE
Möller, M., Tuot, C., & Sintek, M. (2008). A scientific workflow platform for generic and scalable object recognition on medical images. In Informatik aktuell (pp. 267–271). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-540-78640-5_54
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