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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Scopus citations

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.

Original language	English
Title of host publication	Evaluation of Multilingual and Multi-modal Information Retrieval - 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, Revised Selected Papers
Publisher	Springer Verlag
Pages	694-701
Number of pages	8
ISBN (Print)	9783540749981
DOIs	https://doi.org/10.1007/978-3-540-74999-8_86
State	Published - 2007
Externally published	Yes
Event	7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006 - Alicante, Spain Duration: 20 Sep 2006 → 22 Sep 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4730 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006
Country/Territory	Spain
City	Alicante
Period	20/09/06 → 22/09/06

Access to Document

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

Cite this

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. In 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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doi = "10.1007/978-3-540-74999-8\_86",

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booktitle = "Evaluation of Multilingual and Multi-modal Information Retrieval - 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, Revised Selected Papers",

note = "7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006 ; Conference date: 20-09-2006 Through 22-09-2006",

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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. in 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, Spain, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Inter-media concept-based medical image indexing and retrieval with UMLS at IPAL

AU - Lacoste, Caroline

AU - Chevallet, Jean Pierre

AU - Lim, Joo Hwee

AU - Le, Diem Thi Hoang

AU - Xiong, Wei

AU - Racoceanu, Daniel

AU - Teodorescu, Roxana

AU - Vuillenemot, Nicolas

PY - 2007

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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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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Evaluation of Multilingual and Multi-modal Information Retrieval - 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, Revised Selected Papers

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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. In 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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