Spatial Reasoning for Plausibility Checks of Medical Object Recognition Results Using the Foundational Model of Anatomy
Manuel Möller, Patrick Ernst, Andreas Dengel: “Spatial Reasoning for Plausibility Checks of Medical Object Recognition Results Using the Foundational Model of Anatomy“, to appear in Proceedings of the 2nd Malaysian Joint Conference on Artificial Intelligence 2010 (MJCAI 2010), Kuching, Sarawak, Malaysia, 26th – 30th July 2010 [BibTex]
Abstract: We present a rule-based system using medical expert knowledge represented in a formal ontology to check the results of automatic medical object recognition algorithms for anatomical plausibility. Our system is based on the comprehensive Foundation Model of Anatomy ontology and uses a set of forward rules executed by a Prolog engine. In our evaluation we describe how this approach can be used to check the results of a state-of-the-art medical object recognition system for 3D CT volume data sets for anatomical plausibility. Our results show that the combination of sub-symbolic object recognition, medical domain knowledge represented in formal ontologies and yields an improved overall recognition precision.
