Spatial representation and reasoning in breast cancer grading ontology

A. E. Tutac, V. I. Cretu, D. Racoceanu

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

The most emphasized way of representing the knowledge from domains of real world is the ontology, which is undoubtedly the trend of current years. In medical applications such as breast cancer grading, formal ontological representation is of high relevance due to the importance of grading in the prognosis process and to the semantic gap. However, since the representation deals with histopathology images, a spatial representation and reasoning is required. We extend our breast cancer grading ontology with spatial representation and spatial reasoning support and we show how it helps in overcoming the inconsistencies and ambiguities. The ontology is integrated in a cognitive virtual microscope platform guiding the image exploration and assisting the grading process.

Idioma originalInglés
Título de la publicación alojadaICCC-CONTI 2010 - IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, Proceedings
Páginas89-94
Número de páginas6
DOI
EstadoPublicada - 2010
Publicado de forma externa
EventoIEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, ICCC-CONTI 2010 - Timisoara, Rumanía
Duración: 27 may. 201029 may. 2010

Serie de la publicación

NombreICCC-CONTI 2010 - IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, Proceedings

Conferencia

ConferenciaIEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, ICCC-CONTI 2010
País/TerritorioRumanía
CiudadTimisoara
Período27/05/1029/05/10

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