Inter-media concept-based medical image indexing and retrieval with UMLS at IPAL

Caroline Lacoste; Jean Pierre Chevallet; Joo Hwee Lim; Diem Thi Hoang Le; Wei Xiong; Daniel Racoceanu; Roxana Teodorescu; Nicolas Vuillenemot

doi:10.1007/978-3-540-74999-8_86

Inter-media concept-based medical image indexing and retrieval with UMLS at IPAL

Caroline Lacoste
, Jean Pierre Chevallet
, Joo Hwee Lim
, Diem Thi Hoang Le
, Wei Xiong
, Daniel Racoceanu
, Roxana Teodorescu
, Nicolas Vuillenemot

CNRS

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

11 Citas (Scopus)

Resumen

We promote the use of explicit medical knowledge to solve retrieval of information both visual and textual. For text, this knowledge is a set of concepts from a Meta-thesaurus, the Unified Medical Language System (UMLS). For images, this knowledge is a set of semantic features that are learned from examples using SVM within a structured learning framework. Image and text index are represented in the same way: a vector of concepts. The use of concepts allows the expression of a common index form: an inter-media index, offering the opportunity of homogeneous indexing/querying time fusion techniques. Top results obtained with concept based approaches show the potential of conceptual indexing.

Idioma original	Inglés
Título de la publicación alojada	Evaluation of Multilingual and Multi-modal Information Retrieval - 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, Revised Selected Papers
Editorial	Springer Verlag
Páginas	694-701
Número de páginas	8
ISBN (versión impresa)	9783540749981
DOI	https://doi.org/10.1007/978-3-540-74999-8_86
Estado	Publicada - 2007
Publicado de forma externa	Sí
Evento	7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006 - Alicante, Espana Duración: 20 set. 2006 → 22 set. 2006

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	4730 LNCS
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

Conferencia

Conferencia	7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006
País/Territorio	Espana
Ciudad	Alicante
Período	20/09/06 → 22/09/06

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10.1007/978-3-540-74999-8_86

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Lacoste, C., Chevallet, J. P., Lim, J. H., Le, D. T. H., Xiong, W., Racoceanu, D., Teodorescu, R., & Vuillenemot, N. (2007). Inter-media concept-based medical image indexing and retrieval with UMLS at IPAL. En Evaluation of Multilingual and Multi-modal Information Retrieval - 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, Revised Selected Papers (pp. 694-701). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4730 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-74999-8_86

Lacoste, Caroline ; Chevallet, Jean Pierre ; Lim, Joo Hwee et al. / Inter-media concept-based medical image indexing and retrieval with UMLS at IPAL. Evaluation of Multilingual and Multi-modal Information Retrieval - 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, Revised Selected Papers. Springer Verlag, 2007. pp. 694-701 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Inter-media concept-based medical image indexing and retrieval with UMLS at IPAL",

abstract = "We promote the use of explicit medical knowledge to solve retrieval of information both visual and textual. For text, this knowledge is a set of concepts from a Meta-thesaurus, the Unified Medical Language System (UMLS). For images, this knowledge is a set of semantic features that are learned from examples using SVM within a structured learning framework. Image and text index are represented in the same way: a vector of concepts. The use of concepts allows the expression of a common index form: an inter-media index, offering the opportunity of homogeneous indexing/querying time fusion techniques. Top results obtained with concept based approaches show the potential of conceptual indexing.",

author = "Caroline Lacoste and Chevallet, \{Jean Pierre\} and Lim, \{Joo Hwee\} and Le, \{Diem Thi Hoang\} and Wei Xiong and Daniel Racoceanu and Roxana Teodorescu and Nicolas Vuillenemot",

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Lacoste, C, Chevallet, JP, Lim, JH, Le, DTH, Xiong, W, Racoceanu, D, Teodorescu, R & Vuillenemot, N 2007, Inter-media concept-based medical image indexing and retrieval with UMLS at IPAL. En Evaluation of Multilingual and Multi-modal Information Retrieval - 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4730 LNCS, Springer Verlag, pp. 694-701, 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, Alicante, Espana, 20/09/06. https://doi.org/10.1007/978-3-540-74999-8_86

Inter-media concept-based medical image indexing and retrieval with UMLS at IPAL. / Lacoste, Caroline; Chevallet, Jean Pierre; Lim, Joo Hwee et al.
Evaluation of Multilingual and Multi-modal Information Retrieval - 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, Revised Selected Papers. Springer Verlag, 2007. p. 694-701 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4730 LNCS).

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

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AU - Lacoste, Caroline

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AU - Racoceanu, Daniel

AU - Teodorescu, Roxana

AU - Vuillenemot, Nicolas

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AB - We promote the use of explicit medical knowledge to solve retrieval of information both visual and textual. For text, this knowledge is a set of concepts from a Meta-thesaurus, the Unified Medical Language System (UMLS). For images, this knowledge is a set of semantic features that are learned from examples using SVM within a structured learning framework. Image and text index are represented in the same way: a vector of concepts. The use of concepts allows the expression of a common index form: an inter-media index, offering the opportunity of homogeneous indexing/querying time fusion techniques. Top results obtained with concept based approaches show the potential of conceptual indexing.

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Lacoste C, Chevallet JP, Lim JH, Le DTH, Xiong W, Racoceanu D et al. Inter-media concept-based medical image indexing and retrieval with UMLS at IPAL. En Evaluation of Multilingual and Multi-modal Information Retrieval - 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, Revised Selected Papers. Springer Verlag. 2007. p. 694-701. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-74999-8_86

Inter-media concept-based medical image indexing and retrieval with UMLS at IPAL

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