Ontology-based mammography annotation and Case-based Retrieval of breast masses

Authors:
Hakan Bulu;Adil Alpkocak;Pinar Balci
Affiliations:
Department of Computer Engineering, Dokuz Eylul University, Izmir, Turkey;Department of Computer Engineering, Dokuz Eylul University, Izmir, Turkey;Radiology Department, Medical School, Dokuz Eylul University, Izmir, Turkey
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

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Abstract

This paper describes ontology-based annotation of mammography and a Case-based Retrieval approach for breast masses from digital mammography archive. We first present our Mammography Annotation Ontology focusing on its main concepts and relationships, as well as the annotation tool. Then, we propose a model for similarity calculation between breast masses based on their high, mid and low-level features. We use Semantic Query-enhanced Web Rule Language (SQWRL) to process retrieval of similar masses from annotated mammography collection in OWL. We give both retrieving process and results we obtained from experimentations, in detail.