Abstract
This paper describes an hybrid method combining symbolic and numerical techniques for annotating brain Magnetic Resonance images. Existing automatic labelling methods are mostly statistical in nature and do not work very well in certain situations such as the presence of lesions. The goal is to assist them by a knowledge-based method. The system uses statistical method for generating a sufficient set of initial facts for fruitful reasoning. Then, the reasoning is supported by an OWL DL ontology enriched by SWRL rules. The experiments described were achieved using the KAON2 reasoner for inferring the annotations.
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Mechouche, A., Golbreich, C., Gibaud, B. (2007). Towards a Hybrid System Using an Ontology Enriched by Rules for the Semantic Annotation of Brain MRI Images. In: Marchiori, M., Pan, J.Z., Marie, C.d.S. (eds) Web Reasoning and Rule Systems. RR 2007. Lecture Notes in Computer Science, vol 4524. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72982-2_16
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DOI: https://doi.org/10.1007/978-3-540-72982-2_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72981-5
Online ISBN: 978-3-540-72982-2
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