Multimodal medical image retrieval OHSU at imageCLEF 2008

Jayashree Kalpathy-Cramer, Steven Bedrick, William Hatt, William Hersh

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

3 Scopus citations

Abstract

We present results from the Oregon Health & Science University's participation in the medical retrieval task of ImageCLEF 2008. Our web-based retrieval system was built using a Ruby on Rails framework. Ferret, a Ruby port of Lucene was used to create the full-text based index and search engine. In addition to the textual index of annotations, supervised machine learning techniques using visual features were used to classify the images based on image acquisition modality. Our system provides the user with a number of search options including the ability to limit their search by modality, UMLS-based query expansion, and Natural Language Processing-based techniques. Purely textual runs as well as mixed runs using the purported modality were submitted. We also submitted interactive runs using user specified search options. Although the use of the UMLS metathesaurus increased our recall, our system is geared towards early precision. Consequently, many of our multimodal automatic runs using the custom parser as well as interactive runs had high early precision including the highest P10 and P30 among the official runs. Our runs also performed well using the bpref metric, a measure that is more robust in the case of incomplete judgments.

Original languageEnglish (US)
Title of host publicationEvaluating Systems for Multilingual and Multimodal Information Access - 9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008, Revised Selected Papers
Pages744-751
Number of pages8
DOIs
StatePublished - Dec 1 2009
Event9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008 - Aarhus, Denmark
Duration: Sep 17 2008Sep 19 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5706 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008
CountryDenmark
CityAarhus
Period9/17/089/19/08

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Multimodal medical image retrieval OHSU at imageCLEF 2008'. Together they form a unique fingerprint.

  • Cite this

    Kalpathy-Cramer, J., Bedrick, S., Hatt, W., & Hersh, W. (2009). Multimodal medical image retrieval OHSU at imageCLEF 2008. In Evaluating Systems for Multilingual and Multimodal Information Access - 9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008, Revised Selected Papers (pp. 744-751). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5706 LNCS). https://doi.org/10.1007/978-3-642-04447-2_96