UB at ImageCLEFmed 2006

Authors:
Miguel E. Ruiz
Affiliations:
State Universiy of New York at Buffalo, Depatrtment of Library and Information Studies, Buffalo, NY
Venue:
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
Year:
2006

Citing 2
Cited 1

UB at CLEF 2005: bilingual CLIR and medical image retrieval tasks

CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
UB at CLEF2004 cross language medical image retrieval

CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images

Query expansion with a medical ontology to improve a multimodal information retrieval system

Computers in Biology and Medicine

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents the results of the University at Buffalo in the 2006 ImageCLEFmed task. Our approach for this task combines Content Based Image Retrieval (CBIR) and text retrieval to improve retrieval of medical images. Our results are comparable to other approaches presented in the task. Our results show that text retrieval performs well across the three different types of topics (visual, visual-semantic and semantic) and that the combination of CBIR and text retrieval yields moderate improvements.