Title :
Research on application of Lucene in medical image retrieval system
Author :
Cui, Wencheng ; Xu, Mengjia ; Sun, Huayu ; Shao, Hong
Author_Institution :
Sch. of Inf. Sci. & Eng., Shenyang Univ. of Technol., Shenyang, China
Abstract :
The medical imaging technology widely used in the medical domain, the massive medical images produced in the clinic has an important reference value to the medical scientific research, but for its large quantity and difficult to manage, the efficiency and accuracy in the retrieval are still insufficient. Lucene is architecture with a full-text search engine, providing the complete query and index engine. Several kinds of station search engine can be developed based on it. The architecture of medical image retrieval system is designed with ExtJS, Struts2, Spring, Hibernate and Lucene, including preprocessing, index establishment and resource retrieval. The retrieval efficiency of this system is high and the function is perfect.
Keywords :
image retrieval; indexing; medical information systems; query processing; search engines; ExtJS; Hibernate; Lucene; Spring; Struts2; clinic; full-text search engine; index engine; index establishment; medical image retrieval system; medical imaging technology; medical scientific research; query engine; resource retrieval; DICOM; Image segmentation; Indexes; Medical diagnostic imaging; Stomach; Sun; Framework; Image Retrieval; Index; Lucene; Medical Image; Search Engine;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
DOI :
10.1109/ICCSNT.2011.6182053
