Manual query modification and automated translation to improve cross-language medical image retrieval

Jeffery R. Jensen; William R. Hersh

Manual query modification and automated translation to improve cross-language medical image retrieval

Jeffery R. Jensen, William R. Hersh

Medical Informatics and Clinical Epidemiology

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

Image retrieval has great potential for a variety of tasks in medicine but is currently underdeveloped. For the ImageCLEF 2005 medical task, we developed a context-based retrieval system. We then conducted our experiment using an automatic query, a manual query, and a manual/visual query. The best results were obtained from manual modification of queries, while combining those results with data from content-based image retrieval had a detrimental effect.

Original language	English (US)
Journal	CEUR Workshop Proceedings
Volume	1171
State	Published - 2005
Event	2005 Cross Language Evaluation Forum Workshop, CLEF 2005, co-located with the 9th European Conference on Digital Libraries, ECDL 2005 - Wien, Austria Duration: Sep 21 2005 → Sep 22 2005

Keywords

Question answering
Questions beyond factoids

ASJC Scopus subject areas

Computer Science(all)

Cite this

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title = "Manual query modification and automated translation to improve cross-language medical image retrieval",

abstract = "Image retrieval has great potential for a variety of tasks in medicine but is currently underdeveloped. For the ImageCLEF 2005 medical task, we developed a context-based retrieval system. We then conducted our experiment using an automatic query, a manual query, and a manual/visual query. The best results were obtained from manual modification of queries, while combining those results with data from content-based image retrieval had a detrimental effect.",

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year = "2005",

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journal = "CEUR Workshop Proceedings",

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AU - Jensen, Jeffery R.

AU - Hersh, William R.

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AB - Image retrieval has great potential for a variety of tasks in medicine but is currently underdeveloped. For the ImageCLEF 2005 medical task, we developed a context-based retrieval system. We then conducted our experiment using an automatic query, a manual query, and a manual/visual query. The best results were obtained from manual modification of queries, while combining those results with data from content-based image retrieval had a detrimental effect.

KW - Question answering

KW - Questions beyond factoids

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M3 - Conference article

AN - SCOPUS:84922032074

SN - 1613-0073

VL - 1171

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 2005 Cross Language Evaluation Forum Workshop, CLEF 2005, co-located with the 9th European Conference on Digital Libraries, ECDL 2005

Y2 - 21 September 2005 through 22 September 2005

ER -

Manual query modification and automated translation to improve cross-language medical image retrieval

Abstract

Keywords

ASJC Scopus subject areas

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