Spatial representation and reasoning in breast cancer grading ontology

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

doi:10.1109/ICCCYB.2010.5491320

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 congreso › Contribución a la conferencia › revisión 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 original	Inglés
Título de la publicación alojada	ICCC-CONTI 2010 - IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, Proceedings
Páginas	89-94
Número de páginas	6
DOI	https://doi.org/10.1109/ICCCYB.2010.5491320
Estado	Publicada - 2010
Publicado de forma externa	Sí
Evento	IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, ICCC-CONTI 2010 - Timisoara, Rumanía Duración: 27 may. 2010 → 29 may. 2010

Serie de la publicación

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

Conferencia

Conferencia	IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, ICCC-CONTI 2010
País/Territorio	Rumanía
Ciudad	Timisoara
Período	27/05/10 → 29/05/10

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 3: Salud y bienestar

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10.1109/ICCCYB.2010.5491320

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Tutac, A. E., Cretu, V. I., & Racoceanu, D. (2010). Spatial representation and reasoning in breast cancer grading ontology. En ICCC-CONTI 2010 - IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, Proceedings (pp. 89-94). Artículo 5491320 (ICCC-CONTI 2010 - IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, Proceedings). https://doi.org/10.1109/ICCCYB.2010.5491320

Tutac, A. E. ; Cretu, V. I. ; Racoceanu, D. / Spatial representation and reasoning in breast cancer grading ontology. ICCC-CONTI 2010 - IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, Proceedings. 2010. pp. 89-94 (ICCC-CONTI 2010 - IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, Proceedings).

@inproceedings{cabbbe0b555e4051b7b6d650bf117953,

title = "Spatial representation and reasoning in breast cancer grading ontology",

abstract = "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.",

author = "Tutac, \{A. E.\} and Cretu, \{V. I.\} and D. Racoceanu",

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booktitle = "ICCC-CONTI 2010 - IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, Proceedings",

note = "IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, ICCC-CONTI 2010 ; Conference date: 27-05-2010 Through 29-05-2010",

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Tutac, AE, Cretu, VI & Racoceanu, D 2010, Spatial representation and reasoning in breast cancer grading ontology. En ICCC-CONTI 2010 - IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, Proceedings., 5491320, ICCC-CONTI 2010 - IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, Proceedings, pp. 89-94, IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, ICCC-CONTI 2010, Timisoara, Rumanía, 27/05/10. https://doi.org/10.1109/ICCCYB.2010.5491320

Spatial representation and reasoning in breast cancer grading ontology. / Tutac, A. E.; Cretu, V. I.; Racoceanu, D.
ICCC-CONTI 2010 - IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, Proceedings. 2010. p. 89-94 5491320 (ICCC-CONTI 2010 - IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, Proceedings).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Spatial representation and reasoning in breast cancer grading ontology

AU - Tutac, A. E.

AU - Cretu, V. I.

AU - Racoceanu, D.

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/77955154874

U2 - 10.1109/ICCCYB.2010.5491320

DO - 10.1109/ICCCYB.2010.5491320

M3 - Conference contribution

AN - SCOPUS:77955154874

SN - 9781424474332

T3 - ICCC-CONTI 2010 - IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, Proceedings

SP - 89

EP - 94

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

T2 - IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, ICCC-CONTI 2010

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ER -

Tutac AE, Cretu VI, Racoceanu D. Spatial representation and reasoning in breast cancer grading ontology. En ICCC-CONTI 2010 - IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, Proceedings. 2010. p. 89-94. 5491320. (ICCC-CONTI 2010 - IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, Proceedings). doi: 10.1109/ICCCYB.2010.5491320

Spatial representation and reasoning in breast cancer grading ontology

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