| Year: 2006 | 
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| LHNCBC-2006-020 |
| Automatic Medical Image Annotation and Retrieval Using SECC |
| Yao J, Antani S, Long LR, Thoma GR, Zhang Z |
| Proc. 19th International Symposium on Computer-Based Medical Systems (CBMS 2006), June 2006, Salt Lake City, Utah; 105-10 |
| 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. |
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