Automatic Medical Image Annotation and Retrieval Using SECC

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.

• Type: Conference
• Year: 2006
• Where: CBMS
• Authors: Jian Yao, Sameer Antani, L. Rodney Long, George R. Thoma, Zhongfei Zhang
• Keywords: Annotation Method, CBMS 2006, Image Annotation Method, Medical Imaging, Semantic Error-Correcting Output