DocumentCode :
3197979
Title :
Knowledge-Assisted Medical Image Retrieval
Author :
Lim, Joo-Hwee ; Lacoste, Caroline ; Chevallet, Jean-Pierre ; Diem Thi Hoang He
Author_Institution :
Inst. for Infocomm Res., Singapore
fYear :
2007
fDate :
2-5 July 2007
Firstpage :
791
Lastpage :
794
Abstract :
In this paper, we present a knowledge-assisted approach to index and retrieve large volume of medical images. Both images and associated texts are indexed using medical concepts from the Unified Medical Language System (UMLS) meta-thesaurus. We propose a structured learning framework for modular acquisition of medical semantics from images with complementary global and local image indexing schemes. Two fusion approaches are also developed to improve text retrieval using the UMLS-based image indexing: a simple post-query fusion and a visual modality filtering to remove visually aberrant images according to the query modality concepts. On the ImageCLEFmed 2005 database, our framework outperformed our previous result which ranked top in the ImageCLEFmed 2005 Medical Image Retrieval task benchmark.
Keywords :
Unified Modeling Language; information retrieval; medical image processing; medical information systems; Unified Medical Language System; image indexing schemes; knowledge-assisted medical image retrieval; medical images; medical semantics; modular acquisition; structured learning framework; text retrieval; Biomedical imaging; Diseases; Filtering; Image databases; Image retrieval; Indexing; Information retrieval; Thesauri; Unified modeling language; Visual databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2007 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-1016-9
Electronic_ISBN :
1-4244-1017-7
Type :
conf
DOI :
10.1109/ICME.2007.4284769
Filename :
4284769
Link To Document :
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