DocumentCode :
3144762
Title :
The research of semantic content applied to brain CT images
Author :
Miao, Yumei ; Wang, Yimin ; Miao, Yusong
Author_Institution :
Coll. of Remote Sensing Information, Wuhan Univ., China
fYear :
2004
fDate :
24-25 June 2004
Firstpage :
582
Lastpage :
587
Abstract :
The brain CT image database is the result of the efforts made at the No. 161 Center Hospital for accurately diagnosing encephalic illness. How to prevent the man-made error and improve the interpret level for brain CT images, is the purpose of this database, also for our paper. So the intelligent brain CT image retrieval process become important. In our paper, we discuss four stages in content-based semantic retrieval. Finally, we apply a new complex similarity query algorithm to fulfill the image retrieval.
Keywords :
brain; computerised tomography; content-based retrieval; image retrieval; medical diagnostic computing; visual databases; brain CT image database; complex similarity query algorithm; content-based semantic retrieval; encephalic illness diagnosis; intelligent brain CT image retrieval; Biomedical imaging; Computed tomography; Content based retrieval; Hemorrhaging; Humans; Image databases; Image retrieval; Medical diagnostic imaging; Natural languages; Picture archiving and communication systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems, 2004. CBMS 2004. Proceedings. 17th IEEE Symposium on
ISSN :
1063-7125
Print_ISBN :
0-7695-2104-5
Type :
conf
DOI :
10.1109/CBMS.2004.1311778
Filename :
1311778
Link To Document :
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