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Automatic Medical Image Annotation and Retrieval Using SECC

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Yao J, Antani S, Long LR, Thoma GR, Zhang Z
Proc CBMS 2006, June 2006, Salt Lake City, Utah; 105-10
Abstract: 

The demand for automatically annotating and retrieving medical images is growing faster than ever. In this paper, we present a novel medical image annotation method based on the proposed Semantic Error-Correcting output Codes (SECC). With this annotation method, we present a new semantic image retrieval method, which exploits the high level semantic similarity. The experimental results on the IMAGECLEF 2005 annotation data set clearly show the strength and the promise of the presented methods.

Yao J, Antani S, Long LR, Thoma GR, Zhang Z. Automatic Medical Image Annotation and Retrieval Using SECC Proc CBMS 2006, June 2006, Salt Lake City, Utah; 105-10