Title :
Automatic Medical Image Annotation and Retrieval using SEMI-SECC
Author :
Yao, Jian ; Zhongfei Zhang ; Antani, Sameer ; Long, Ruixing ; Thoma, G.
Author_Institution :
Dept. of Comput. Sci., State Univ. of New York, Binghamton, NY
Abstract :
The demand for automatically annotating and retrieving medical images is growing faster than ever. In this paper, we present a novel medical image retrieval method based on SEMI-supervised semantic error-correcting output codes (SEMI-SECC). The experimental results on IMAGECLEF 2005 annotation data set clearly show the strength and the promise of the presented methods
Keywords :
error correction codes; image coding; image retrieval; medical image processing; IMAGECLEF 2005; SEMI-SECC; automatic annotation; medical image retrieval; supervised semantic error-correcting output code; Biomedical imaging; Computer errors; Computer science; Elbow; Foot; Image databases; Image retrieval; Information retrieval; Libraries; Medical diagnostic imaging;
Conference_Titel :
Multimedia and Expo, 2006 IEEE International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
1-4244-0366-7
Electronic_ISBN :
1-4244-0367-7
DOI :
10.1109/ICME.2006.262606
