Computation of semantic similarity within an ontology of breast pathology to assist inter-observer consensus.
Computer-assisted consensus in medical imaging involves automatic comparison of morphological abnormalities observed by physicians in images. We built an ontology of morphological abnormalities in breast pathology to assist inter-observer consensus. Concepts of morphological abnormalities extracted from existing terminologies, published grading systems and medical reports were organized in an taxonomic hierarchy and furthermore linked by the relation "is a diagnostic criterion of" according to diagnostic meaning. We implemented position-based, content-based and mixed semantic similarity measures between concepts in this ontology and compared the results with experts' judgment. The position-based similarity measure using both taxonomic and non-taxonomic relations performed as well as the other measures and was used for automatic comparison of morphological abnormalities within the IDEM computer-assisted consensus platform.
Steichen
Olivier
O
INSERM U729, F-75006, Paris, France.
Daniel-Le Bozec
Christel
C
Thieu
Maxime
M
Zapletal
Eric
E
Jaulent
Marie-Christine
MC
D001940:Breast / Q000473:pathology*; D005260:Female; D006801:Humans; D008490:Medical Informatics; D015588:Observer Variation; D010338:Pathology, Clinical / Q000706:statistics & numerical data; D012660:Semantics