Title :
The research of content-based BCTIIS
Author :
Miao, Yumei ; Miao, Yusong ; Xie, Wenhan
Author_Institution :
Coll. of Remote Sensing Inf., Wuhan Univ., China
Abstract :
The diagnostic value of CT (computed tomography) checking for encephalic illness is affirmative. How to prevent the man-made error and improve the interpret level for brain CT images, is the purpose of this paper. Under a prototype of brain-CT-images-interpret system (BCTIIS), we discuss the intelligent content-based image retrieval techniques. In this paper, for image retrieving, we not only issued the transform of content-based retrieval languages, but also developed a weighted complex similarity query algorithm (WK-NN) for optimum query efficiency.
Keywords :
brain; computerised tomography; diseases; image retrieval; medical computing; medical image processing; WK-NN algorithm; brain-CT-images-interpret system; computed tomography checking; content-based BCTIIS; content-based retrieval language transform; diagnostic value; encephalic illness; intelligent content-based image retrieval techniques; man-made error; optimum query efficiency; weighted complex similarity query algorithm; Computed tomography; Content based retrieval; Educational institutions; Humans; Image databases; Image resolution; Image retrieval; Image storage; Picture archiving and communication systems; Radiology;
Conference_Titel :
Nuclear Science Symposium Conference Record, 2003 IEEE
Print_ISBN :
0-7803-8257-9
DOI :
10.1109/NSSMIC.2003.1352451