Abstract
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.
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