Medical image retrieval and automated annotation: OHSU at ImageCLEF 2006

William Hersh, Jayashree Kalpathy-Cramer, Jeffery Jensen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Scopus citations

Abstract

Oregon Health & Science University participated in both the medical retrieval and medical annotation tasks of ImageCLEF 2006. Our efforts in the retrieval task focused on manual modification of query statements and fusion of results from textual and visual retrieval techniques. Our results showed that manual modification of queries does improve retrieval performance, while data fusion of textual and visual techniques improves precision but lowers recall. However, since image retrieval may be a precision-oriented task, these data fusion techniques could be of value for many users. In the annotation task, we assessed a variety of learning techniques and obtained classification accuracy of up to 74% with test data.

Original languageEnglish (US)
Title of host publicationEvaluation of Multilingual and Multi-modal Information Retrieval - 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, Revised Selected Papers
PublisherSpringer-Verlag
Pages660-669
Number of pages10
ISBN (Print)9783540749981
DOIs
StatePublished - 2007
Event7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006 - Alicante, Spain
Duration: Sep 20 2006Sep 22 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4730 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006
Country/TerritorySpain
CityAlicante
Period9/20/069/22/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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