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KMID : 0603720120180010003
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Journal of Korean Society of Medical Informatics
2012 Volume.18 No. 1 p.3 ~ p.9
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Medical Image Retrieval: Past and Present
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Hwang Kyung-Hoon
Lee Hae-Jun
Choi Duck-Joo
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Abstract
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With the widespread dissemination of picture archiving and communication systems (PACSs) in hospitals, the amount of imaging data is rapidly increasing. Effective image retrieval systems are required to manage these complex and large image databases. The authors reviewed the past development and the present state of medical image retrieval systems including textbased and content-based systems. In order to provide a more effective image retrieval service, the intelligent content-based etrieval systems combined with semantic systems are required.
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KEYWORD
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Medical Image, Content-Based Image Retrieval, Text-Based Image Retrieval, SNOMED-CT, RadLex, Ontology
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